WO2012117583A1 - Color imaging device - Google Patents
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- WO2012117583A1 WO2012117583A1 PCT/JP2011/067419 JP2011067419W WO2012117583A1 WO 2012117583 A1 WO2012117583 A1 WO 2012117583A1 JP 2011067419 W JP2011067419 W JP 2011067419W WO 2012117583 A1 WO2012117583 A1 WO 2012117583A1
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- G—PHYSICS
- G02—OPTICS
- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
- G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
- G02F1/1333—Constructional arrangements; Manufacturing methods
- G02F1/1335—Structural association of cells with optical devices, e.g. polarisers or reflectors
- G02F1/133509—Filters, e.g. light shielding masks
- G02F1/133514—Colour filters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4015—Image demosaicing, e.g. colour filter arrays [CFA] or Bayer patterns
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/843—Demosaicing, e.g. interpolating colour pixel values
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/10—Circuitry of solid-state image sensors [SSIS]; Control thereof for transforming different wavelengths into image signals
- H04N25/11—Arrangement of colour filter arrays [CFA]; Filter mosaics
- H04N25/13—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements
- H04N25/134—Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements based on three different wavelength filter elements
Definitions
- the present invention relates to a color imaging apparatus, and more particularly to a color imaging apparatus capable of suppressing the occurrence of color moire.
- FIG. 10A when a black and white vertical stripe pattern (high-frequency image) as shown in FIG. 10A is incident on an image sensor having the Bayer arrangement shown in FIG. 10B, the color is assigned to the Bayer color arrangement.
- R is a light flat
- B is a dark flat
- G is a light and shaded mosaic image, which is originally a monochrome image, Although there is no density difference (level difference) between RGB, depending on the color arrangement and the input frequency, a color is added.
- an optical low-pass filter made of a birefringent material such as crystal is disposed in front of the color image pickup device, and this is avoided by optically dropping a high frequency.
- coloring due to folding of the high-frequency signal can be reduced, but there is a problem that the resolution is lowered due to its adverse effect.
- the color filter arrangement of the color image sensor is determined based on an arrangement restriction condition in which any target pixel is adjacent in any one of three colors including the color of the target pixel and four sides of the target pixel.
- Patent Document 1 A color image sensor having a three-color random array that satisfies the above has been proposed.
- Patent Document 2 an image sensor having a color filter array alternately arranged at the second predetermined period in the other diagonal direction has been proposed (Patent Document 2).
- an image pickup apparatus includes a color image pickup device in which R and B of the three primary colors of RGB are arranged every three pixels in the horizontal and vertical directions, and G is arranged between these R and B.
- Patent Document 3 The color image pickup device described in Patent Document 3 is arranged so that the G pixel that contributes most to obtain the luminance signal is much more than the RB pixel because the resolution of the color difference signal may be lower than the luminance signal. Thus, the horizontal and vertical resolutions can be increased.
- Patent Document 1 The three-color random arrangement described in Patent Document 1 is effective for low-frequency color moire, but is not effective for false colors in the high-frequency part.
- R, G, and B filters are periodically arranged in the horizontal and vertical lines of the color filter array.
- a local region having a predetermined image size is extracted around the target pixel, and the target pixel in the local region is extracted.
- the estimated value of the other color of the target pixel position is calculated.
- the invention described in Patent Document 2 requires a calculation of a statistic (covariance value) relating to a color distribution shape and a regression calculation process, and has a problem that image processing becomes complicated.
- the color image sensor described in Patent Document 3 is not effective for false colors in the high-frequency part in the horizontal or vertical direction because there are lines of only G pixels in the horizontal or vertical direction.
- the present invention has been made in view of such circumstances, and an object of the present invention is to provide a color imaging apparatus capable of suppressing the generation of false colors in a high-frequency part by simple image processing.
- an invention according to one aspect of the present invention is directed to a method in which filters of all colors are arranged in a horizontal direction and a vertical direction on a plurality of pixels including photoelectric conversion elements arranged in a horizontal direction and a vertical direction.
- a single-plate color image pickup element in which color filters of a color filter array periodically arranged in each line are arranged, an image acquisition unit for acquiring a mosaic image from the color image pickup element, and a predetermined filter coefficient
- a weighted average filter having a relationship between the color of each pixel in the local area extracted from the mosaic image corresponding to the weighted average filter and the filter coefficient in a color in each line in the horizontal and vertical directions
- a weighted average calculating unit that calculates a weighted average value for each color based on a pixel value of each pixel in a local region extracted from a zyke image, and a pixel of a target pixel for synchronization processing at the center of the weighted average filter
- a synchronization processing unit for calculating a pixel value of another color at
- a single color filter array in which all color filters are periodically arranged in the horizontal and vertical lines is provided. Since a plate-type color image sensor is used, for each color in each line in the horizontal and vertical directions as the filter coefficient for the color of each pixel in the local area extracted from the mosaic image corresponding to the weighted average filter The sum of the filter coefficients can be set to be equal.
- the filter coefficient of the weighted average filter is equal to the ratio of the sum of each color in any line in the horizontal and vertical directions. Therefore, the filter coefficient is multiplied regardless of the frequency input in the horizontal and vertical directions. The resulting color relationship does not shift, and coloring due to high-frequency folding does not occur. That is, the weighted average value for each color calculated based on the filter coefficient of the weighted average filter and the pixel value of each pixel in the local region extracted from the mosaic image corresponding to the weighted average filter is Whatever frequency is input to the local area in the horizontal and vertical directions, the correct color in the local area is indicated.
- the pixel value of the target pixel is calculated based on the color ratio or color difference of the calculated weighted average value.
- the color filter array of the color imaging element includes a first filter corresponding to the first color that contributes most to obtain a luminance signal and other than the first color. And a second filter corresponding to the second color corresponding to the second color or more, and the basic array pattern is repeatedly arranged in the horizontal direction and the vertical direction, and corresponds to the first filter. The ratio between the number of pixels of the first color and the number of pixels of each color of the second color corresponding to the second filter is made different.
- the weighted average filter has the same ratio of the sum of the filter coefficients for each color in both the horizontal and vertical lines, so that the color relationship as a result of applying the filter coefficients does not shift, and coloring due to high-frequency folding occurs. There is nothing.
- the ratio of the number of pixels of the first color corresponding to the first filter is a pixel of each color of the second color corresponding to the second filter. It is preferably larger than the ratio of the numbers. That is, since the ratio of the number of pixels of the first color that contributes most to obtain the luminance signal is made larger than the ratio of the number of pixels of each color of the second color corresponding to the second filter, Singing can be suppressed and high frequency reproducibility is also good.
- the weighted average filter is a filter that is weighted so that a filter coefficient at the center is increased.
- the weighted average filter has filter coefficients that are left-right symmetric, up-down symmetric, and point symmetric. Therefore, when extracting a local area
- the color filter includes an R filter, a G filter, and a B filter corresponding to red (R), green (G), and blue (B) colors.
- the ratio of the weighted average value (Rf, Gf, Bf) for each color in the local region indicates the RGB ratio (color ratio) of the original color at the pixel position of the target pixel in the local region.
- the color filter includes an R filter, a G filter, and a B filter corresponding to red (R), green (G), and blue (B) colors.
- the difference in the weighted average value (Rf, Gf, Bf) for each color in the local area indicates the RGB difference (color difference) of the original color at the pixel position of the target pixel in the local area.
- the color filter includes an R filter, a G filter, and a B filter corresponding to red (R), green (G), and blue (B) colors.
- the filter array is a first array corresponding to 3 ⁇ 3 pixels, and a G filter is arranged at the center and four corners, and a B filter is arranged above and below the center G filter.
- a second array corresponding to 3 ⁇ 3 pixels, with G filters arranged at the center and four corners, with the center G filter interposed therebetween.
- the control unit has The weighted average the filter first sequence or the second sequence so that the order weighted average repeating the calculation unit and the synchronization unit is operated while sequentially moved so that the center.
- the first array and the second array both have color filters that are symmetrical vertically and horizontally, and the first array and the second array are simply replaced by an R filter and a B filter. It is. Therefore, when processing while moving the weighted average filter every 3 ⁇ 3 pixels, the total sum of the filter coefficients for each color in each line in the horizontal and vertical directions can be obtained without changing the filter coefficient of the weighted average filter.
- the ratio can be made equal.
- the filter coefficient for the color of each pixel in the local region extracted from the mosaic image corresponding to the weighted average filter is the sum of the filter coefficients for each color in each line in the horizontal and vertical directions.
- the ratio is set to be equal, and the weighted average value for each color based on the filter coefficient of the weighted average filter and the pixel value of each pixel in the local area extracted from the mosaic image corresponding to the weighted average filter Therefore, the color ratio or color difference of the weighted average value for each color in the local area indicates the color ratio or color difference of the original color at the pixel position of the target pixel in the local area.
- the pixel value of another color can be accurately estimated by interpolating the pixel value of the target pixel based on the color ratio or color difference of the calculated weighted average value.
- FIG. 1 is a block diagram showing an embodiment of a color imaging device according to the present invention
- FIG. 2 is a diagram showing a color filter array of color filters provided in the color image sensor of the first embodiment
- FIG. 3 is a diagram showing a basic array pattern included in the color filter array of the color image sensor of the first embodiment
- FIG. 4 is a diagram showing a state in which the basic array pattern of 6 ⁇ 6 pixels included in the color filter array of the color image sensor of the first embodiment is divided into an A array and a B array of 3 ⁇ 3 pixels, and these are arranged. Is
- FIG. 5 is a diagram showing a weighted average filter applied to the color image sensor of the first embodiment
- FIG. 5 is a diagram showing a weighted average filter applied to the color image sensor of the first embodiment
- FIG. 6A is a diagram showing an image when there is a high frequency input of vertical stripes
- FIG. 6B is a diagram used to explain that color shift does not occur in the weighted average color that has been subjected to the weighted average filter when high-frequency vertical stripes are input
- FIG. 7 is a diagram showing a second embodiment of a color imaging device and a weighted average filter applied to the present invention
- FIG. 8 is a diagram showing a third embodiment of a color image sensor applied to the present invention
- FIG. 9A is a diagram showing a third embodiment of a weighted average filter applied to the color image sensor of the third embodiment
- FIG. 9B is a diagram showing a weighted average filter applied when the 6 ⁇ 6 pixel local region shown in FIG. 9A is moved by two pixels in the horizontal direction
- FIG. 10 is a diagram used for explaining a problem of a color image sensor having a color filter with a conventional Bayer array.
- FIG. 1 is a block diagram showing an embodiment of a color imaging apparatus according to the present invention.
- the subject is imaged by the photographing optical system 10, and a light image indicating the subject image is formed on the light receiving surface of the color image sensor 12 (the color image sensor of the first embodiment).
- the color image sensor 12 includes a plurality of pixels (not shown) made of photoelectric conversion elements arranged in a horizontal direction and a vertical direction (two-dimensional arrangement), and a predetermined color filter arranged on the light receiving surface of each pixel.
- This is a single-plate type color image pickup device composed of an array of color filters. Note that the color filter array of the color image pickup device 12 is such that filters of all colors of red (R), green (G), and blue (B) are periodically arranged in the horizontal and vertical lines. The details will be described later.
- the subject image formed on the color image sensor 12 is converted into a signal charge corresponding to the amount of incident light by the photoelectric conversion element.
- the signal charge accumulated in each photoelectric conversion element is sequentially read out from the color imaging element 12 as a voltage signal (image signal) corresponding to the signal charge based on a drive pulse given from the drive unit 18 according to a command from the control unit 20.
- the image signals read from the color image sensor 12 are R, G, and B signals that indicate R, G, and B mosaic images corresponding to the color filter array of the color image sensor 12.
- the color image sensor 12 is not limited to a CCD (Charge-Coupled Device) color image sensor, but may be another type of image sensor such as a CMOS (Complementary Metal Oxide Semiconductor) image sensor.
- the image signal read from the color imaging device 12 is input to the imaging processing unit 14.
- the imaging processing unit 14 includes a correlated double sampling circuit (CDS) for removing reset noise included in the image signal, an AGC circuit for amplifying the image signal and controlling it to a certain level, and an A / D A conversion unit is included, and the input image signal is subjected to correlated double sampling processing and amplified, and thereafter, the RAW data converted into a digital image signal is output to the image processing unit 16.
- CDS correlated double sampling circuit
- the image processing unit 16 includes a white balance correction circuit, a gamma correction circuit, and a synchronization processing circuit according to the present invention (all RGB colors for each pixel from an RGB mosaic image associated with the color filter array of the single-plate color image sensor 12).
- the RAW data is subjected to required signal processing to generate image data (YUV data) composed of luminance data (Y data) and color difference data (Cr, Cb data).
- the image data generated by the image processing unit 16 is subjected to compression processing conforming to the JPEG standard for still images by a compression / decompression processing circuit, and compression processing conforming to the MPEG2 standard for moving images. After that, it is recorded on a recording medium (memory card), and is output and displayed on a display means (not shown) such as a liquid crystal monitor.
- the color filter array of the color image sensor 12 has the following features (1), (2), and (3).
- FIG. 2 is a diagram showing a color filter array of color filters provided in the color image sensor 12.
- the color filter array of the color image sensor 12 includes a basic array pattern P (pattern indicated by a thick frame) composed of a square array pattern corresponding to 6 ⁇ 6 pixels. It is repeatedly arranged in the horizontal and vertical directions. That is, in this color filter array, R, G, and B color filters (R filter, G filter, and B filter) are arrayed with a predetermined periodicity.
- the R filter, G filter, and B filter are arranged with a predetermined periodicity in this way, when performing R, G, B signal readout processing from the color image sensor 12, processing is performed according to a repetitive pattern. It can be performed.
- FIG. 3 shows a state in which the basic array pattern P shown in FIG. 2 is divided into 4 ⁇ 3 ⁇ 3 pixels.
- the basic array pattern P includes a 3 ⁇ 3 pixel A array surrounded by a solid frame and a 3 ⁇ 3 pixel B array surrounded by a broken frame as shown in FIG. It can also be understood that the array is arranged alternately in the vertical direction.
- G filters which are luminance system pixels, are arranged at the four corners and the center, and are arranged on both diagonal lines.
- the R filter is arranged in the horizontal direction with the central G filter interposed therebetween, and the B filter is arranged in the vertical direction.
- the B filter is arranged in the horizontal direction with the central G filter interposed therebetween.
- the R filters are arranged in the vertical direction. That is, in the A array and the B array, the positional relationship between the R filter and the B filter is reversed, but the other arrangements are the same.
- the basic array pattern of the color filter array shown in FIG. 2 is point-symmetric with respect to the center of the basic array pattern (the centers of the four G filters). As shown in FIG. 3, the A array and the B array in the basic array pattern are also point-symmetric with respect to the central G filter.
- the basic arrangement pattern of the color filter array shown in FIG. 2 is that the number of R, G, and B pixels corresponding to the R, G, and B filters in the basic arrangement pattern is 8 pixels, 20 pixels, and 8 pixels, respectively. It has become. That is, the ratio of the number of pixels of RGB pixels is 2: 5: 2, and the ratio of the number of G pixels that contributes most to obtain a luminance signal is the ratio of R pixels and B pixels of other colors. It is larger than the ratio of the number of pixels.
- FIG. 5 is a diagram showing an embodiment of a weighted average filter used in the synchronization processing circuit of the image processing unit 16, and particularly shows filter coefficients of the weighted average filter.
- this weighted average filter (the weighted average filter of the first embodiment) has a 9 ⁇ 9 kernel size, and the filter coefficients shown in FIG. 5 are set.
- the filter coefficient of the weighted average filter is obtained by extracting a 9 ⁇ 9 pixel local area from the mosaic image obtained from the color image sensor 12 so that the A array is in the center, and changing the color of each pixel in the local area.
- the filter coefficients are extracted for each color and the sum of the filter coefficients for each color is obtained, the ratio of the sum of the filter coefficients for each RGB color in each line in the horizontal and vertical directions is equal ( The filter coefficient is set so as to be 1: 1: 1.
- this weighted average filter has a large 3 ⁇ 3 filter coefficient in the center when comparing the filter coefficients for each region divided into 3 ⁇ 3 sizes, and then 3 ⁇ 3 on the top, bottom, left and right sides of the center.
- the filter coefficients are weighted so that the filter coefficients are large and the 3 ⁇ 3 filter coefficients at the four corners are the smallest.
- the filter coefficient is set so that this weighted average filter is left-right symmetric, up-down symmetric, and point symmetric.
- the weighted average value for each RGB is calculated based on the weighted average filter having the above configuration and the pixel value of each pixel in the 9 ⁇ 9 pixel local region extracted from the mosaic image, the color based on the weighted average value for each RGB is Regardless of the frequency input in the horizontal and vertical directions, no color shift occurs and coloring due to high-frequency folding does not occur.
- the sum of the filter coefficients of each color is 32:32:32 (see FIG. 6B), and it can be seen from the color ratio that it is black and white.
- a local area of 9 ⁇ 9 pixels is extracted from the mosaic image obtained from the color image sensor 12 so that the A array is in the center, and the pixel value of each pixel in the local area and the weight A weighted average value for each color of RGB is calculated based on the filter coefficient of the average filter. That is, the pixel value of each pixel in the local area is multiplied by the filter coefficient of the weighted average filter at each pixel position, the multiplication result is added for each color to obtain the sum for each color, and the sum for each color is further calculated.
- the weighted average value is calculated by dividing by 64. Note that 64 is the total sum of the filter coefficients for each RGB of the weighted average filter.
- a ratio (color ratio) of the RGB weighted average values is calculated from the RGB weighted average values calculated as described above.
- the central 3 ⁇ 3 pixel (the pixel in the thick frame shown in FIG. 5) in the local region of 9 ⁇ 9 pixels is the target pixel of the synchronization process, and the pixel value at the pixel position of the target pixel is Interpolation is performed based on the calculated color ratio, and pixel values of other colors at the pixel position are calculated.
- the target pixel of the synchronization process is a G pixel
- the pixel value is G
- the local region extracted from the mosaic image is determined for each 3 ⁇ 3 pixel. The same processing as above is performed while moving.
- a B array of 3 ⁇ 3 pixels is arranged at the center of the local area of 9 ⁇ 9 pixels after the movement. Will be located (see FIG. 4).
- the A array and the B array have the same G filter array, and only the positions of the R filter and the B filter are different.
- the weighted average filter has the same weight when performing the synchronization process while moving the local region. An average filter can be used.
- the filter coefficient is set so that the weighted average value for each RGB is calculated based on this weighted average filter, the frequency of the color based on the weighted average value for each RGB can be input in the horizontal and vertical directions. Even if there is, it is possible to accurately represent the color of the local region. Since the synchronization processing is performed based on the color based on the weighted average value for each RGB, it is possible to suppress the occurrence of false colors, thereby providing an optical low-pass filter for suppressing the occurrence of false colors. It is possible not to arrange it in the optical path from the incident surface to the imaging surface, or even when applying an optical low-pass filter, it is possible to apply one that has a weak function of cutting high frequency components to prevent false color generation , Resolution can be maintained.
- the pixel value at the pixel position of the target pixel is interpolated based on the color ratio of the weighted average value of RGB, and the pixel values of other colors at the pixel position are calculated.
- the pixel values of other colors may be calculated by interpolating the pixel values of the target pixel based on the color difference of the weighted average values of RGB.
- the target pixel of the synchronization process is a G pixel
- FIG. 7 is a diagram showing a second embodiment of a color image sensor and a weighted average filter applied to the present invention, and in particular, a color filter array of color filters provided in the color image sensor and the color filter array. The filter coefficient of the weighted average filter is shown.
- a certain horizontal line is RGBRGBRGB
- the next horizontal line is GBRGBRGBR
- the next horizontal line is BRGBRGBRG. This is repeated.
- R, G, and B color filters are arrayed with a predetermined periodicity.
- filters of all colors R, G, and B are arranged in each line in the horizontal direction and the vertical direction.
- the color filter array of the color image sensor of the second embodiment has the same characteristics as the features (1) and (2) of the color filter array of the color image sensor 12 of the first embodiment.
- the weighted average filter of the second embodiment applied to the color image sensor has a kernel size of 6 ⁇ 6 as shown by a thick frame in FIG. 7, and the filter coefficient shown in FIG. Yes.
- the filter coefficient of the weighted average filter of the second embodiment is obtained by extracting a 6 ⁇ 6 pixel local area from the mosaic image obtained from the color image sensor of the second embodiment, and each pixel in the local area.
- the filter coefficients are extracted for each color corresponding to the colors and the sum of the filter coefficients for each color is obtained, the ratio of the sum of the filter coefficients for each RGB color in each line in the horizontal and vertical directions is The filter coefficients are set to be equal (1: 1: 1).
- this weighted average filter has a large 2 ⁇ 2 filter coefficient in the center when comparing the filter coefficients for each region divided into 2 ⁇ 2 sizes, and then 2 ⁇ 2 on the top, bottom, left and right sides of the center.
- the filter coefficients are weighted so that the filter coefficients are large and the 2 ⁇ 2 filter coefficients at the four corners are the smallest.
- the filter coefficient is set so that this weighted average filter is left-right symmetric, up-down symmetric, and point symmetric.
- the weighted average value for each RGB is calculated based on the weighted average filter having the above configuration and the pixel value of each pixel in the 6 ⁇ 6 pixel local area extracted from the mosaic image, the color based on the weighted average value for each RGB is Regardless of the frequency input in the horizontal and vertical directions, no color shift occurs and coloring due to high-frequency folding does not occur.
- the weighted average value for each RGB is calculated based on the pixel value of each pixel in the 6 ⁇ 6 pixel local region extracted from the mosaic image and the filter coefficient of the weighted average filter.
- the local region extracted from the mosaic image is set in the horizontal direction or the vertical direction.
- the same processing as above is performed while moving two pixels in the direction, but in this case, the same weighted average filter can be used.
- FIG. 8 is a diagram showing a third embodiment of a color image sensor applied to the present invention, and particularly shows a color filter array of color filters provided in the color image sensor.
- FIG. 9 shows filter coefficients of a weighted average filter applied to this color image sensor.
- the color filter array of the color imaging device of the third embodiment includes a basic array pattern (pattern indicated by a thick frame) including a square array pattern corresponding to 4 ⁇ 4 pixels.
- the array pattern is repeatedly arranged in the horizontal direction and the vertical direction. That is, in this color filter array, R, G, and B color filters (R filter, G filter, and B filter) are arrayed with a predetermined periodicity.
- filters of all the colors R, G, and B are arranged in each line in the horizontal direction and the vertical direction.
- the basic array pattern of the color filter array is point-symmetric with respect to the center of the basic array pattern.
- the numbers of R pixels, G pixels, and B pixels corresponding to the R, G, and B filters in the basic arrangement pattern are 4 pixels and 8 pixels, respectively. There are 4 pixels. That is, the ratio of the number of RGB pixels is 1: 2: 1, and the ratio of the number of G pixels that contributes most to obtain a luminance signal is the ratio of the R and B pixels of the other colors. It is larger than the ratio of the number of pixels.
- the color filter array of the color image sensor of the third embodiment includes the features (1), (2), (3), and (4) of the color filter array of the color image sensor 12 of the first embodiment. Has the same characteristics.
- the weighted average filter of the third embodiment applied to the color imaging device has a kernel size of 6 ⁇ 6 as shown by the thick frames in FIGS. 9A and 9B, and the filter coefficient shown in FIG. Is set.
- the filter coefficient of the weighted average filter of the third embodiment is obtained by extracting a 6 ⁇ 6 pixel local area from the mosaic image obtained from the color image sensor of the third embodiment, and each pixel in the local area.
- the filter coefficients are extracted for each color corresponding to the colors, and the sum of the filter coefficients for each color is obtained, the ratio of the sum of the filter coefficients for each RGB color in each line in the horizontal and vertical directions is The filter coefficients are set to be equal (1: 1: 1).
- this weighted average filter has a large 2 ⁇ 2 filter coefficient in the center when comparing the filter coefficients for each region divided into 2 ⁇ 2 sizes, and then 2 ⁇ 2 on the top, bottom, left and right sides of the center.
- the filter coefficients are weighted so that the filter coefficients are large and the 2 ⁇ 2 filter coefficients at the four corners are the smallest.
- the weighted average value for each RGB is calculated based on the weighted average filter having the above configuration and the pixel value of each pixel in the 6 ⁇ 6 pixel local area extracted from the mosaic image, the color based on the weighted average value for each RGB is Regardless of the frequency input in the horizontal and vertical directions, no color shift occurs and coloring due to high-frequency folding does not occur.
- the weighted average value for each RGB is calculated based on the pixel value of each pixel in the 6 ⁇ 6 pixel local region extracted from the mosaic image and the filter coefficient of the weighted average filter.
- the local area extracted from the mosaic image is set in the horizontal direction or the vertical direction.
- the same process as above is performed while moving two pixels in the direction, but in this case, a different weighted average filter is used.
- FIG. 9A when G pixels come in the upper left and lower right of 2 ⁇ 2 pixels in the center of the 6 ⁇ 6 pixel local area extracted from the mosaic image, the filter coefficients shown in FIG. 9B, the local area extracted from the mosaic image is moved to two pixels in the horizontal direction, and G pixels are located at the upper right and lower left of the 2 ⁇ 2 pixels in the center of the local area.
- a weighted average filter having a filter coefficient shown in FIG. 9B is used.
- RGB primary colors + other colors for example, emerald
- the present invention can also be applied to a color image pickup apparatus including a color image pickup element having four color filters of E)).
- the present invention provides a color image pickup including a color image pickup element having a color filter of four complementary colors, in which G is added to C (cyan), M (magenta), and Y (yellow) which are complementary colors of the primary colors RGB. It can also be applied to devices.
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Abstract
Description
R=G×(Rf/Gf),B=G×(Bf/Gf)
により算出し、前記同時化処理の対象画素がR画素であり、その画素値がRの場合、前記対象画素の位置におけるG、B画素の画素値G,Bを、次式、
G=R×(Gf/Rf),B=R×(Bf/Rf)
により算出し、前記同時化処理の対象画素がB画素であり、その画素値がBの場合、前記対象画素の位置におけるG、R画素の画素値G,Rを、次式、
G=B×(Gf/Bf),R=B×(Rf/Bf)
により算出するようにしている。 In the color imaging device according to still another aspect of the present invention, the color filter includes an R filter, a G filter, and a B filter corresponding to red (R), green (G), and blue (B) colors. A weighted average value for each color of pixel values of R, G, and B pixels corresponding to the R filter, G filter, and B filter calculated by the weighted average calculation unit, arranged in a filter array, is Rf, Assuming Gf and Bf, the synchronization processing unit, when the target pixel of the synchronization processing is a G pixel and the pixel value is G, the pixel values R and B of the R and B pixels at the position of the target pixel With the following formula:
R = G × (Rf / Gf), B = G × (Bf / Gf)
When the target pixel of the synchronization processing is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R × (Gf / Rf), B = R × (Bf / Rf)
When the target pixel of the synchronization processing is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the position of the target pixel are expressed by the following equations:
G = B × (Gf / Bf), R = B × (Rf / Bf)
It is made to calculate by.
R=G+(Rf-Gf),B=G+(Bf-Gf)
により算出し、前記同時化処理の対象画素がR画素であり、その画素値がRの場合、前記対象画素の位置におけるG、B画素の画素値G,Bを、次式、
G=R+(Gf-Rf),B=R+(Bf-Rf)
により算出し、前記同時化処理の対象画素がB画素であり、その画素値がBの場合、前記対象画素の位置におけるG、R画素の画素値G,Rを、次式、
G=B+(Gf-Bf),R=B+(Rf-Bf)
により算出するようにしている。 In the color imaging device according to still another aspect of the present invention, the color filter includes an R filter, a G filter, and a B filter corresponding to red (R), green (G), and blue (B) colors. A weighted average value for each color of pixel values of R, G, and B pixels corresponding to the R filter, G filter, and B filter calculated by the weighted average calculation unit, arranged in a filter array, is Rf, Assuming Gf and Bf, the synchronization processing unit, when the target pixel of the synchronization processing is a G pixel and the pixel value is G, the pixel values R and B of the R and B pixels at the position of the target pixel With the following formula:
R = G + (Rf−Gf), B = G + (Bf−Gf)
When the target pixel of the synchronization processing is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R + (Gf−Rf), B = R + (Bf−Rf)
When the target pixel of the synchronization processing is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the position of the target pixel are expressed by the following equations:
G = B + (Gf−Bf), R = B + (Rf−Bf)
It is made to calculate by.
図1は本発明に係るカラー撮像装置の実施形態を示すブロック図である。 [Overall configuration of color imaging device]
FIG. 1 is a block diagram showing an embodiment of a color imaging apparatus according to the present invention.
カラー撮像素子12のカラーフィルタ配列は、下記の特徴(1)、(2)及び(3)を有している。 <Characteristics of color filter array>
The color filter array of the
図2はカラー撮像素子12に設けられているカラーフィルタのカラーフィルタ配列を示す図である。図2に示すように、カラー撮像素子12のカラーフィルタ配列は、6×6画素に対応する正方配列パターンからなる基本配列パターンP(太枠で示したパターン)を含み、この基本配列パターンPが水平方向及び垂直方向に繰り返し配置されている。即ち、このカラーフィルタ配列は、R、G、Bの各色のフィルタ(Rフィルタ、Gフィルタ、Bフィルタ)が所定の周期性をもって配列されている。 (Feature (1))
FIG. 2 is a diagram showing a color filter array of color filters provided in the
図2に示すカラーフィルタ配列は、R、G、Bの全ての色のフィルタが水平方向及び垂直方向の各ライン内に配置されている。 (Feature (2))
In the color filter array shown in FIG. 2, filters of all colors of R, G, and B are arranged in each line in the horizontal direction and the vertical direction.
図2に示すカラーフィルタ配列の基本配列パターンは、その基本配列パターンの中心(4つのGフィルタの中心)に対して点対称になっている。また、図3に示したように、基本配列パターン内のA配列及びB配列も、それぞれ中心のGフィルタに対して点対称になっている。 (Feature (3))
The basic array pattern of the color filter array shown in FIG. 2 is point-symmetric with respect to the center of the basic array pattern (the centers of the four G filters). As shown in FIG. 3, the A array and the B array in the basic array pattern are also point-symmetric with respect to the central G filter.
図2に示すカラーフィルタ配列の基本配列パターンは、その基本配列パターン内におけるR、G、Bフィルタに対応するR画素、G画素、B画素の画素数が、それぞれ8画素、20画素、8画素になっている。即ち、RGB画素の各画素数の比率は、2:5:2になっており、輝度信号を得るために最も寄与するG画素の画素数の比率は、他の色のR画素、B画素の画素数の比率よりも大きくなっている。 (Feature (4))
The basic arrangement pattern of the color filter array shown in FIG. 2 is that the number of R, G, and B pixels corresponding to the R, G, and B filters in the basic arrangement pattern is 8 pixels, 20 pixels, and 8 pixels, respectively. It has become. That is, the ratio of the number of pixels of RGB pixels is 2: 5: 2, and the ratio of the number of G pixels that contributes most to obtain a luminance signal is the ratio of R pixels and B pixels of other colors. It is larger than the ratio of the number of pixels.
図5は、画像処理部16の同時化処理回路で使用する加重平均フィルタの実施形態を示す図であり、特に加重平均フィルタのフィルタ係数に関して示している。 [Weighted average filter used in the synchronization processing circuit of the image processing unit 16]
FIG. 5 is a diagram showing an embodiment of a weighted average filter used in the synchronization processing circuit of the
次に、画像処理部16の同時化処理回路によりRGBのモザイク画像を同時化処理する方法について説明する。 [Synchronization processing by the synchronization processing circuit of the image processing unit 16]
Next, a description will be given of a method of performing an RGB mosaic image synchronization process using the synchronization processing circuit of the
R=G×(Rf/Gf),B=G×(Bf/Gf) …(1)
により算出する。 Specifically, when the calculated weighted average value for each RGB color is Rf, Gf, and Bf, the target pixel of the synchronization process is a G pixel, and when the pixel value is G, the position of the target pixel The pixel values R and B at
R = G × (Rf / Gf), B = G × (Bf / Gf) (1)
Calculated by
G=R×(Gf/Rf),B=R×(Bf/Rf) …(2)
により算出する。 Similarly, when the target pixel of the synchronization process is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R × (Gf / Rf), B = R × (Bf / Rf) (2)
Calculated by
G=B×(Gf/Bf),R=B×(Rf/Bf) …(3)
により算出する。 Further, when the target pixel of the synchronization process is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the target pixel position are expressed by the following equations:
G = B × (Gf / Bf), R = B × (Rf / Bf) (3)
Calculated by
R=G+(Rf-Gf),B=G+(Bf-Gf) …(4)
により算出する。 Specifically, when the weighted average value for each RGB color is Rf, Gf, and Bf, the target pixel of the synchronization process is a G pixel, and when the pixel value is G, the pixel value R at the position of the target pixel , B is the following formula:
R = G + (Rf−Gf), B = G + (Bf−Gf) (4)
Calculated by
G=R+(Gf-Rf),B=R+(Bf-Rf) …(5)
により算出する。 Similarly, when the target pixel of the synchronization process is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R + (Gf−Rf), B = R + (Bf−Rf) (5)
Calculated by
G=B+(Gf-Bf),R=B+(Rf-Bf) …(6)
により算出する。 Further, when the target pixel of the synchronization process is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the target pixel position are expressed by the following equations:
G = B + (Gf−Bf), R = B + (Rf−Bf) (6)
Calculated by
図7は本発明に適用されるカラー撮像素子及び加重平均フィルタの第2の実施形態を示す図であり、特にカラー撮像素子に設けられているカラーフィルタのカラーフィルタ配列と、これに適用される加重平均フィルタのフィルタ係数を示している。 [Second Embodiment of Color Image Sensor and Weighted Average Filter]
FIG. 7 is a diagram showing a second embodiment of a color image sensor and a weighted average filter applied to the present invention, and in particular, a color filter array of color filters provided in the color image sensor and the color filter array. The filter coefficient of the weighted average filter is shown.
図8は本発明に適用されるカラー撮像素子の第3の実施形態を示す図であり、特にカラー撮像素子に設けられているカラーフィルタのカラーフィルタ配列に関して示している。 [Third Embodiment of Color Image Sensor and Weighted Average Filter]
FIG. 8 is a diagram showing a third embodiment of a color image sensor applied to the present invention, and particularly shows a color filter array of color filters provided in the color image sensor.
上記実施形態では、RGBの3原色のカラーフィルタを有するカラー撮像素子を備えたカラー撮像装置について説明したが、本発明は、これに限らず、RGBの3原色+他の色(例えば、エメラルド(E))の4色のカラーフィルタを有するカラー撮像素子を備えたカラー撮像装置にも適用できる。 [Others]
In the above-described embodiment, a color imaging device including a color imaging device having color filters of RGB three primary colors has been described. However, the present invention is not limited to this, and the RGB primary colors + other colors (for example, emerald ( The present invention can also be applied to a color image pickup apparatus including a color image pickup element having four color filters of E)).
Claims (8)
- 水平方向及び垂直方向に配列された光電変換素子からなる複数の画素上に、全ての色のフィルタが水平方向及び垂直方向の各ライン内に周期的に配置されたカラーフィルタ配列のカラーフィルタが配設されてなる単板式のカラー撮像素子と、
前記カラー撮像素子からモザイク画像を取得する画像取得部と、
所定のフィルタ係数を有する加重平均フィルタであって、該加重平均フィルタに対応して前記モザイク画像から抽出される局所領域内の各画素の色と前記フィルタ係数との関係が、水平及び垂直方向の各ライン内の色毎のフィルタ係数の総和の比が等しくなるように設定された加重平均フィルタと、
前記加重平均フィルタのフィルタ係数と該加重平均フィルタに対応して前記モザイク画像から抽出される局所領域内の各画素の画素値とに基づいて色毎の加重平均値を算出する加重平均算出部と、
前記加重平均フィルタの中央部の同時化処理の対象画素の画素位置における他の色の画素値を算出する同時化処理部であって、前記対象画素の色と他の色との前記算出した加重平均値の色比又は色差に基づいて、前記対象画素の画素値を補間して前記他の色の画素値を算出する同時化処理部と、
前記加重平均フィルタに対応して前記モザイク画像から抽出する局所領域を、前記同時化処理の対象画素単位毎に移動させながら前記加重平均算出部及び同時化処理部を繰り返し動作させる制御部と、
を備えたカラー撮像装置。 On a plurality of pixels composed of photoelectric conversion elements arranged in the horizontal direction and the vertical direction, color filters of a color filter arrangement in which all color filters are periodically arranged in each line in the horizontal direction and the vertical direction are arranged. A single-plate color image pickup device,
An image acquisition unit for acquiring a mosaic image from the color imaging device;
A weighted average filter having a predetermined filter coefficient, wherein the relationship between the color of each pixel in the local region extracted from the mosaic image corresponding to the weighted average filter and the filter coefficient is in the horizontal and vertical directions. A weighted average filter set so that the ratio of the sum of the filter coefficients for each color in each line is equal;
A weighted average calculating unit for calculating a weighted average value for each color based on a filter coefficient of the weighted average filter and a pixel value of each pixel in the local region extracted from the mosaic image corresponding to the weighted average filter; ,
A synchronization processing unit that calculates a pixel value of another color at a pixel position of a target pixel of a synchronization process in a central part of the weighted average filter, the calculated weight of the color of the target pixel and the other color A synchronization processing unit that interpolates the pixel value of the target pixel and calculates the pixel value of the other color based on the color ratio or color difference of the average value;
A control unit that repeatedly operates the weighted average calculation unit and the synchronization processing unit while moving a local region extracted from the mosaic image corresponding to the weighted average filter for each target pixel unit of the synchronization processing;
A color imaging apparatus comprising: - 前記カラー撮像素子のカラーフィルタ配列は、輝度信号を得るために最も寄与する第1の色に対応する第1のフィルタと前記第1の色以外の2色以上の第2の色に対応する第2のフィルタとが配列された基本配列パターンを含み、該基本配列パターンが水平方向及び垂直方向に繰り返して配置され、
前記第1のフィルタに対応する第1の色の画素数と、前記第2のフィルタに対応する第2の色の各色の画素数との比率が異なる請求項1に記載のカラー撮像装置。 The color filter array of the color imaging device has a first filter corresponding to the first color that contributes most to obtain a luminance signal and a second color corresponding to two or more second colors other than the first color. A basic arrangement pattern in which two filters are arranged, and the basic arrangement pattern is repeatedly arranged in a horizontal direction and a vertical direction,
2. The color imaging device according to claim 1, wherein a ratio between the number of pixels of the first color corresponding to the first filter and the number of pixels of each color of the second color corresponding to the second filter is different. - 前記第1のフィルタに対応する第1の色の画素数の比率は、前記第2のフィルタに対応する第2の色の各色の画素数の比率よりも大きい請求項2に記載のカラー撮像装置。 The color imaging device according to claim 2, wherein a ratio of the number of pixels of the first color corresponding to the first filter is larger than a ratio of the number of pixels of each color of the second color corresponding to the second filter. .
- 前記加重平均フィルタは、中央部のフィルタ係数が大きくなるように重み付けされているフィルタである請求項1から3のいずれか1項に記載のカラー撮像装置。 The color imaging device according to any one of claims 1 to 3, wherein the weighted average filter is a filter weighted so that a filter coefficient at a central portion is increased.
- 前記加重平均フィルタは、左右対称、上下対称及び点対称となるフィルタ係数を有する請求項1から4のいずれか1項に記載のカラー撮像装置。 The color imaging device according to any one of claims 1 to 4, wherein the weighted average filter has filter coefficients that are bilaterally symmetric, vertically symmetric, and point symmetric.
- 前記カラーフィルタは、赤(R)、緑(G)、青(B)の色に対応するRフィルタ、Gフィルタ及びBフィルタが所定のカラーフィルタ配列で配置されてなり、
前記加重平均算出部により算出された前記Rフィルタ、Gフィルタ及びBフィルタに対応するR、G、B画素の画素値の色毎の加重平均値を、それぞれRf、Gf、Bfとすると、
前記同時化処理部は、
前記同時化処理の対象画素がG画素であり、その画素値がGの場合、前記対象画素の位置におけるR、B画素の画素値R,Bを、次式、
R=G×(Rf/Gf),B=G×(Bf/Gf)
により算出し、前記同時化処理の対象画素がR画素であり、その画素値がRの場合、前記対象画素の位置におけるG、B画素の画素値G,Bを、次式、
G=R×(Gf/Rf),B=R×(Bf/Rf)
により算出し、前記同時化処理の対象画素がB画素であり、その画素値がBの場合、前記対象画素の位置におけるG、R画素の画素値G,Rを、次式、
G=B×(Gf/Bf),R=B×(Rf/Bf)
により算出する請求項1から5のいずれか1項に記載のカラー撮像装置。 The color filter includes R filters, G filters, and B filters corresponding to red (R), green (G), and blue (B) colors arranged in a predetermined color filter array,
When the weighted average value for each color of the R, G, and B pixel values corresponding to the R filter, G filter, and B filter calculated by the weighted average calculation unit is Rf, Gf, and Bf,
The synchronization processing unit includes:
When the target pixel of the synchronization processing is a G pixel and the pixel value is G, the pixel values R and B of the R and B pixels at the target pixel position are expressed by the following equations:
R = G × (Rf / Gf), B = G × (Bf / Gf)
When the target pixel of the synchronization processing is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R × (Gf / Rf), B = R × (Bf / Rf)
When the target pixel of the synchronization processing is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the position of the target pixel are expressed by the following equations:
G = B × (Gf / Bf), R = B × (Rf / Bf)
The color imaging device according to claim 1, which is calculated by: - 前記カラーフィルタは、赤(R)、緑(G)、青(B)の色に対応するRフィルタ、Gフィルタ及びBフィルタが所定のカラーフィルタ配列で配置されてなり、
前記加重平均算出部により算出された前記Rフィルタ、Gフィルタ及びBフィルタに対応するR、G、B画素の画素値の色毎の加重平均値を、それぞれRf、Gf、Bfとすると、
前記同時化処理部は、
前記同時化処理の対象画素がG画素であり、その画素値がGの場合、前記対象画素の位置におけるR、B画素の画素値R,Bを、次式、
R=G+(Rf-Gf),B=G+(Bf-Gf)
により算出し、前記同時化処理の対象画素がR画素であり、その画素値がRの場合、前記対象画素の位置におけるG、B画素の画素値G,Bを、次式、
G=R+(Gf-Rf),B=R+(Bf-Rf)
により算出し、前記同時化処理の対象画素がB画素であり、その画素値がBの場合、前記対象画素の位置におけるG、R画素の画素値G,Rを、次式、
G=B+(Gf-Bf),R=B+(Rf-Bf)
により算出する請求項1から5のいずれか1項に記載のカラー撮像装置。 The color filter includes R filters, G filters, and B filters corresponding to red (R), green (G), and blue (B) colors arranged in a predetermined color filter array,
When the weighted average value for each color of the R, G, and B pixel values corresponding to the R filter, G filter, and B filter calculated by the weighted average calculation unit is Rf, Gf, and Bf,
The synchronization processing unit includes:
When the target pixel of the synchronization processing is a G pixel and the pixel value is G, the pixel values R and B of the R and B pixels at the target pixel position are expressed by the following equations:
R = G + (Rf−Gf), B = G + (Bf−Gf)
When the target pixel of the synchronization processing is an R pixel and the pixel value is R, the pixel values G and B of the G and B pixels at the target pixel position are expressed by the following equations:
G = R + (Gf−Rf), B = R + (Bf−Rf)
When the target pixel of the synchronization processing is a B pixel and the pixel value is B, the pixel values G and R of the G and R pixels at the position of the target pixel are expressed by the following equations:
G = B + (Gf−Bf), R = B + (Rf−Bf)
The color imaging device according to claim 1, which is calculated by: - 前記カラーフィルタは、赤(R)、緑(G)、青(B)の色に対応するRフィルタ、Gフィルタ及びBフィルタが所定のカラーフィルタ配列で配置されてなり、
前記フィルタ配列は、3×3画素に対応する第1の配列であって、中心と4隅にGフィルタが配置され、中心のGフィルタを挟んで上下にBフィルタが配置され、左右にRフィルタが配列された第1の配列と、3×3画素に対応する第2の配列であって、中心と4隅にGフィルタが配置され、中心のGフィルタを挟んで上下にRフィルタが配置され、左右にBフィルタが配列された第2の配列とが、交互に水平方向及び垂直方向に配列されて構成され、
前記加重平均フィルタは、9×9のカーネルサイズを有し、
前記制御部は、前記加重平均フィルタを前記第1の配列又は第2の配列が中心になるように順次移動させながら前記加重平均算出部及び同時化処理部を繰り返し動作させる請求項1から7のいずれか1項に記載のカラー撮像装置。 The color filter includes R filters, G filters, and B filters corresponding to red (R), green (G), and blue (B) colors arranged in a predetermined color filter array,
The filter array is a first array corresponding to 3 × 3 pixels, in which G filters are arranged at the center and four corners, B filters are arranged above and below the center G filter, and R filters are arranged on the left and right Are arranged in the first array and the second array corresponding to 3 × 3 pixels, and G filters are arranged at the center and four corners, and R filters are arranged above and below the center G filter. The second array in which B filters are arranged on the left and right are alternately arranged in the horizontal direction and the vertical direction,
The weighted average filter has a kernel size of 9 × 9;
8. The control unit according to claim 1, wherein the control unit repeatedly operates the weighted average calculation unit and the synchronization processing unit while sequentially moving the weighted average filter so that the first array or the second array is centered. The color imaging device according to any one of the above.
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
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JP2012524426A JP5054857B1 (en) | 2011-02-28 | 2011-07-29 | Color imaging device |
EP11859802.8A EP2683166B1 (en) | 2011-02-28 | 2011-07-29 | Color imaging device |
RU2013138394/07A RU2551649C2 (en) | 2011-02-28 | 2011-07-29 | Colour image forming apparatus |
CN201180022148.XA CN102870417B (en) | 2011-02-28 | 2011-07-29 | Color imaging device |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014034486A1 (en) * | 2012-08-27 | 2014-03-06 | 富士フイルム株式会社 | Image processing apparatus, method, program, recording medium and image pickup apparatus |
US10783158B2 (en) | 2016-12-19 | 2020-09-22 | Datalogic IP Tech, S.r.l. | Method and algorithms for auto-identification data mining through dynamic hyperlink search analysis |
Families Citing this family (97)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4604088B2 (en) | 2004-05-25 | 2010-12-22 | シーメンス アクチエンゲゼルシヤフト | Automobile monitoring unit and support system |
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BR112012029513A2 (en) * | 2011-03-09 | 2016-12-06 | Fujifilm Corp | Color imaging element. |
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WO2012155119A1 (en) | 2011-05-11 | 2012-11-15 | Pelican Imaging Corporation | Systems and methods for transmitting and receiving array camera image data |
US20130265459A1 (en) | 2011-06-28 | 2013-10-10 | Pelican Imaging Corporation | Optical arrangements for use with an array camera |
WO2013043751A1 (en) | 2011-09-19 | 2013-03-28 | Pelican Imaging Corporation | Systems and methods for controlling aliasing in images captured by an array camera for use in super resolution processing using pixel apertures |
IN2014CN02708A (en) | 2011-09-28 | 2015-08-07 | Pelican Imaging Corp | |
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WO2014145856A1 (en) | 2013-03-15 | 2014-09-18 | Pelican Imaging Corporation | Systems and methods for stereo imaging with camera arrays |
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US10122993B2 (en) | 2013-03-15 | 2018-11-06 | Fotonation Limited | Autofocus system for a conventional camera that uses depth information from an array camera |
US9445003B1 (en) | 2013-03-15 | 2016-09-13 | Pelican Imaging Corporation | Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information |
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US9042643B2 (en) * | 2013-06-20 | 2015-05-26 | Himax Imaging Limited | Method for demosaicking |
US9667933B2 (en) | 2013-07-01 | 2017-05-30 | Omnivision Technologies, Inc. | Color and infrared filter array patterns to reduce color aliasing |
US9692992B2 (en) * | 2013-07-01 | 2017-06-27 | Omnivision Technologies, Inc. | Color and infrared filter array patterns to reduce color aliasing |
US9898856B2 (en) | 2013-09-27 | 2018-02-20 | Fotonation Cayman Limited | Systems and methods for depth-assisted perspective distortion correction |
US9264592B2 (en) | 2013-11-07 | 2016-02-16 | Pelican Imaging Corporation | Array camera modules incorporating independently aligned lens stacks |
US10119808B2 (en) | 2013-11-18 | 2018-11-06 | Fotonation Limited | Systems and methods for estimating depth from projected texture using camera arrays |
US9456134B2 (en) | 2013-11-26 | 2016-09-27 | Pelican Imaging Corporation | Array camera configurations incorporating constituent array cameras and constituent cameras |
US10089740B2 (en) | 2014-03-07 | 2018-10-02 | Fotonation Limited | System and methods for depth regularization and semiautomatic interactive matting using RGB-D images |
US9247117B2 (en) | 2014-04-07 | 2016-01-26 | Pelican Imaging Corporation | Systems and methods for correcting for warpage of a sensor array in an array camera module by introducing warpage into a focal plane of a lens stack array |
US20150363916A1 (en) * | 2014-06-12 | 2015-12-17 | Samsung Electronics Co., Ltd. | Low power demosaic with intergrated chromatic aliasing repair |
US9521319B2 (en) | 2014-06-18 | 2016-12-13 | Pelican Imaging Corporation | Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor |
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US9942474B2 (en) | 2015-04-17 | 2018-04-10 | Fotonation Cayman Limited | Systems and methods for performing high speed video capture and depth estimation using array cameras |
WO2016200430A1 (en) * | 2015-06-08 | 2016-12-15 | Dartmouth College | Image sensor color filter array pattern |
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US10445612B2 (en) * | 2015-10-26 | 2019-10-15 | Canon Kabushiki Kaisha | Information processing apparatus, information processing method, and storage medium |
GB2555585A (en) * | 2016-10-31 | 2018-05-09 | Nokia Technologies Oy | Multiple view colour reconstruction |
KR102584523B1 (en) * | 2016-11-16 | 2023-10-05 | 한화비전 주식회사 | Method and apparatus for reducing color moire, and image processing apparatus using the method |
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US10482618B2 (en) | 2017-08-21 | 2019-11-19 | Fotonation Limited | Systems and methods for hybrid depth regularization |
EP3522106A1 (en) * | 2018-01-31 | 2019-08-07 | InterDigital CE Patent Holdings | A filter array enabling easy demosaicing |
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CN109357687B (en) * | 2018-09-07 | 2022-07-08 | 上海集成电路研发中心有限公司 | Defect detection method of CMOS image sensor |
CN114641863A (en) | 2019-05-23 | 2022-06-17 | 三星显示有限公司 | Color conversion substrate and display device including the same |
US11270110B2 (en) | 2019-09-17 | 2022-03-08 | Boston Polarimetrics, Inc. | Systems and methods for surface modeling using polarization cues |
DE112020004813B4 (en) | 2019-10-07 | 2023-02-09 | Boston Polarimetrics, Inc. | System for expanding sensor systems and imaging systems with polarization |
MX2022005289A (en) | 2019-11-30 | 2022-08-08 | Boston Polarimetrics Inc | Systems and methods for transparent object segmentation using polarization cues. |
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WO2021154459A1 (en) | 2020-01-30 | 2021-08-05 | Boston Polarimetrics, Inc. | Systems and methods for synthesizing data for training statistical models on different imaging modalities including polarized images |
US11953700B2 (en) | 2020-05-27 | 2024-04-09 | Intrinsic Innovation Llc | Multi-aperture polarization optical systems using beam splitters |
US12199351B1 (en) | 2021-01-06 | 2025-01-14 | Lockheed Martin Corporation | Phase center steering for grating lobe suppression |
US12020455B2 (en) | 2021-03-10 | 2024-06-25 | Intrinsic Innovation Llc | Systems and methods for high dynamic range image reconstruction |
US12069227B2 (en) | 2021-03-10 | 2024-08-20 | Intrinsic Innovation Llc | Multi-modal and multi-spectral stereo camera arrays |
US11290658B1 (en) | 2021-04-15 | 2022-03-29 | Boston Polarimetrics, Inc. | Systems and methods for camera exposure control |
US11954886B2 (en) | 2021-04-15 | 2024-04-09 | Intrinsic Innovation Llc | Systems and methods for six-degree of freedom pose estimation of deformable objects |
US12067746B2 (en) | 2021-05-07 | 2024-08-20 | Intrinsic Innovation Llc | Systems and methods for using computer vision to pick up small objects |
US12175741B2 (en) | 2021-06-22 | 2024-12-24 | Intrinsic Innovation Llc | Systems and methods for a vision guided end effector |
US12172310B2 (en) | 2021-06-29 | 2024-12-24 | Intrinsic Innovation Llc | Systems and methods for picking objects using 3-D geometry and segmentation |
US11689813B2 (en) | 2021-07-01 | 2023-06-27 | Intrinsic Innovation Llc | Systems and methods for high dynamic range imaging using crossed polarizers |
TWI767795B (en) * | 2021-07-20 | 2022-06-11 | 國立虎尾科技大學 | Establishment method and application method of mosaic tile image database |
US12293535B2 (en) | 2021-08-03 | 2025-05-06 | Intrinsic Innovation Llc | Systems and methods for training pose estimators in computer vision |
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WO2023104298A1 (en) | 2021-12-08 | 2023-06-15 | Dream Chip Technologies Gmbh | Method for processing image data of an image sensor and image processor unit and computer program |
CN114363486B (en) * | 2021-12-14 | 2024-08-02 | Oppo广东移动通信有限公司 | Image sensor, camera module, electronic device, image generation method and device |
KR20230103437A (en) * | 2021-12-31 | 2023-07-07 | 에스케이하이닉스 주식회사 | Image sensor and image processing system including piexl array |
CN115082340B (en) * | 2022-06-23 | 2025-03-28 | 深圳传音控股股份有限公司 | Image processing method, intelligent terminal and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0823543A (en) | 1994-07-07 | 1996-01-23 | Canon Inc | Image pickup device |
JP2000308080A (en) | 1999-04-15 | 2000-11-02 | Olympus Optical Co Ltd | Color image pickup element and color image pickup device |
JP2005136766A (en) | 2003-10-31 | 2005-05-26 | Sony Corp | Image processor and image processing method |
JP2006229299A (en) * | 2005-02-15 | 2006-08-31 | Mitsubishi Electric Corp | Pixel signal processor and processing method |
JP2007288439A (en) * | 2006-04-14 | 2007-11-01 | Fujifilm Corp | Image processing apparatus and method therefor |
JP2008028447A (en) * | 2006-07-18 | 2008-02-07 | Winbond Electron Corp | Image signal noise reduction method and apparatus |
JP2008289090A (en) * | 2007-05-21 | 2008-11-27 | Toshiba Corp | Imaging signal processor |
Family Cites Families (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS60263592A (en) * | 1984-06-11 | 1985-12-27 | Toshiba Corp | Solid-state image pickup device |
EP0522143A1 (en) * | 1991-01-25 | 1993-01-13 | Eastman Kodak Company | A solid state color image sensor using a field-staggered color filter pattern |
JP2892177B2 (en) * | 1991-05-15 | 1999-05-17 | 日本放送協会 | Color solid-state imaging device |
JP2931520B2 (en) * | 1993-08-31 | 1999-08-09 | 三洋電機株式会社 | Color separation circuit for single-chip color video camera |
JP3503372B2 (en) * | 1996-11-26 | 2004-03-02 | ミノルタ株式会社 | Pixel interpolation device and pixel interpolation method |
JP3935548B2 (en) * | 1997-02-27 | 2007-06-27 | オリンパス株式会社 | Image signal processing device |
DE69924308T2 (en) * | 1998-01-20 | 2006-03-09 | Hewlett-Packard Development Co., L.P., Houston | Color imaging device |
JP4487351B2 (en) * | 1999-07-15 | 2010-06-23 | ソニー株式会社 | Solid-state imaging device, driving method thereof, and camera system |
JP2001197512A (en) * | 2000-01-14 | 2001-07-19 | Mitsubishi Electric Corp | Color component generator and multi-color image pickup device using it, and color component generating method |
EP1148735A1 (en) * | 2000-04-20 | 2001-10-24 | Koninklijke Philips Electronics N.V. | Camera with color filter |
US6970597B1 (en) * | 2001-12-05 | 2005-11-29 | Pixim, Inc. | Method of defining coefficients for use in interpolating pixel values |
EP1439715A1 (en) * | 2003-01-16 | 2004-07-21 | Dialog Semiconductor GmbH | Weighted gradient based colour interpolation for colour filter array |
JP2004266369A (en) | 2003-02-21 | 2004-09-24 | Sony Corp | Solid-state image pickup unit and its driving method |
JP4403396B2 (en) * | 2004-07-13 | 2010-01-27 | ソニー株式会社 | IMAGING DEVICE AND IMAGING ELEMENT INTEGRATED CIRCUIT |
JP5151075B2 (en) * | 2005-06-21 | 2013-02-27 | ソニー株式会社 | Image processing apparatus, image processing method, imaging apparatus, and computer program |
US8139130B2 (en) * | 2005-07-28 | 2012-03-20 | Omnivision Technologies, Inc. | Image sensor with improved light sensitivity |
US7821553B2 (en) | 2005-12-30 | 2010-10-26 | International Business Machines Corporation | Pixel array, imaging sensor including the pixel array and digital camera including the imaging sensor |
JP4662883B2 (en) | 2006-05-15 | 2011-03-30 | 富士フイルム株式会社 | Two-dimensional color solid-state image sensor |
KR100885786B1 (en) | 2006-09-06 | 2009-02-26 | 주식회사 하이닉스반도체 | Bit line formation method of semiconductor memory device |
US7769230B2 (en) | 2006-11-30 | 2010-08-03 | Eastman Kodak Company | Producing low resolution images |
US7701496B2 (en) | 2006-12-22 | 2010-04-20 | Xerox Corporation | Color filter pattern for color filter arrays including a demosaicking algorithm |
JP4930109B2 (en) * | 2007-03-06 | 2012-05-16 | ソニー株式会社 | Solid-state imaging device, imaging device |
JP5082528B2 (en) | 2007-03-23 | 2012-11-28 | ソニー株式会社 | Solid-state imaging device and imaging device |
JP5272581B2 (en) * | 2008-08-25 | 2013-08-28 | ソニー株式会社 | Image processing apparatus, imaging apparatus, image processing method, and program |
JP5149143B2 (en) | 2008-12-24 | 2013-02-20 | シャープ株式会社 | Solid-state imaging device, manufacturing method thereof, and electronic information device |
BR112012027306A2 (en) * | 2011-02-28 | 2016-08-02 | Fujifilm Corp | color imaging device |
-
2011
- 2011-07-29 BR BR112012027306A patent/BR112012027306A2/en not_active IP Right Cessation
- 2011-07-29 JP JP2012524426A patent/JP5054857B1/en active Active
- 2011-07-29 RU RU2013138394/07A patent/RU2551649C2/en active
- 2011-07-29 EP EP11859802.8A patent/EP2683166B1/en active Active
- 2011-07-29 CN CN201180022148.XA patent/CN102870417B/en active Active
- 2011-07-29 WO PCT/JP2011/067419 patent/WO2012117583A1/en active Application Filing
- 2011-07-29 CN CN201410160491.6A patent/CN103974044B/en active Active
-
2012
- 2012-07-26 JP JP2012165733A patent/JP5872407B2/en active Active
- 2012-07-27 US US13/560,431 patent/US8531563B2/en active Active
-
2013
- 2013-07-25 US US13/951,053 patent/US8704922B2/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0823543A (en) | 1994-07-07 | 1996-01-23 | Canon Inc | Image pickup device |
JP2000308080A (en) | 1999-04-15 | 2000-11-02 | Olympus Optical Co Ltd | Color image pickup element and color image pickup device |
JP2005136766A (en) | 2003-10-31 | 2005-05-26 | Sony Corp | Image processor and image processing method |
JP2006229299A (en) * | 2005-02-15 | 2006-08-31 | Mitsubishi Electric Corp | Pixel signal processor and processing method |
JP2007288439A (en) * | 2006-04-14 | 2007-11-01 | Fujifilm Corp | Image processing apparatus and method therefor |
JP2008028447A (en) * | 2006-07-18 | 2008-02-07 | Winbond Electron Corp | Image signal noise reduction method and apparatus |
JP2008289090A (en) * | 2007-05-21 | 2008-11-27 | Toshiba Corp | Imaging signal processor |
Non-Patent Citations (1)
Title |
---|
See also references of EP2683166A4 |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014034486A1 (en) * | 2012-08-27 | 2014-03-06 | 富士フイルム株式会社 | Image processing apparatus, method, program, recording medium and image pickup apparatus |
US9363493B2 (en) | 2012-08-27 | 2016-06-07 | Fujifilm Corporation | Image processing apparatus, method, recording medium and image pickup apparatus |
US10783158B2 (en) | 2016-12-19 | 2020-09-22 | Datalogic IP Tech, S.r.l. | Method and algorithms for auto-identification data mining through dynamic hyperlink search analysis |
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EP2683166A4 (en) | 2015-04-01 |
JP5054857B1 (en) | 2012-10-24 |
US8531563B2 (en) | 2013-09-10 |
CN103974044B (en) | 2016-06-08 |
RU2551649C2 (en) | 2015-05-27 |
EP2683166B1 (en) | 2017-12-13 |
JP5872407B2 (en) | 2016-03-01 |
US20130308022A1 (en) | 2013-11-21 |
CN102870417B (en) | 2014-05-14 |
EP2683166A1 (en) | 2014-01-08 |
RU2013138394A (en) | 2015-04-20 |
US8704922B2 (en) | 2014-04-22 |
JPWO2012117583A1 (en) | 2014-07-07 |
US20120293695A1 (en) | 2012-11-22 |
CN103974044A (en) | 2014-08-06 |
BR112012027306A2 (en) | 2016-08-02 |
JP2013048409A (en) | 2013-03-07 |
CN102870417A (en) | 2013-01-09 |
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