WO2008088318A1 - Color correction involving color phase detection and phase-dependent control - Google Patents
Color correction involving color phase detection and phase-dependent control Download PDFInfo
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- WO2008088318A1 WO2008088318A1 PCT/US2007/000293 US2007000293W WO2008088318A1 WO 2008088318 A1 WO2008088318 A1 WO 2008088318A1 US 2007000293 W US2007000293 W US 2007000293W WO 2008088318 A1 WO2008088318 A1 WO 2008088318A1
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- chrominance value
- chrominance
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- 238000012937 correction Methods 0.000 title claims abstract description 32
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- 238000010295 mobile communication Methods 0.000 claims description 2
- 235000003197 Byrsonima crassifolia Nutrition 0.000 claims 1
- 240000001546 Byrsonima crassifolia Species 0.000 claims 1
- 239000011159 matrix material Substances 0.000 description 28
- 230000006870 function Effects 0.000 description 18
- 238000010586 diagram Methods 0.000 description 13
- 230000009466 transformation Effects 0.000 description 12
- 230000010287 polarization Effects 0.000 description 5
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- ORFSSYGWXNGVFB-UHFFFAOYSA-N sodium 4-amino-6-[[4-[4-[(8-amino-1-hydroxy-5,7-disulfonaphthalen-2-yl)diazenyl]-3-methoxyphenyl]-2-methoxyphenyl]diazenyl]-5-hydroxynaphthalene-1,3-disulfonic acid Chemical compound COC1=C(C=CC(=C1)C2=CC(=C(C=C2)N=NC3=C(C4=C(C=C3)C(=CC(=C4N)S(=O)(=O)O)S(=O)(=O)O)O)OC)N=NC5=C(C6=C(C=C5)C(=CC(=C6N)S(=O)(=O)O)S(=O)(=O)O)O.[Na+] ORFSSYGWXNGVFB-UHFFFAOYSA-N 0.000 description 2
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/46—Colour picture communication systems
- H04N1/56—Processing of colour picture signals
- H04N1/60—Colour correction or control
- H04N1/6075—Corrections to the hue
-
- 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
- H04N23/86—Camera processing pipelines; Components thereof for processing colour signals for controlling the colour saturation of colour signals, e.g. automatic chroma control circuits
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/643—Hue control means, e.g. flesh tone control
Definitions
- the present invention relates to color correction
- an image sensor captures an image as a matrix of pixel values .
- the image sensor captures an image as a matrix of pixel values .
- CMOS image sensor may output the values as digital values or may communicate information to another integrated circuit
- the digital values are often in Bayer format.
- the Bayer format values are often converted into a set of three tristimulus values (such as a set of three RGB pixel values) . For each pixel, there is one such R (red) pixel value, one such G (green) pixel value, and one such B
- the image sensor typically uses a different color filter for each color detected. For example, a first color filter is disposed over a sensor for red, a second color filter is disposed over a sensor for green, and a third color filter is disposed over a sensor for blue.
- the operation of the image sensor and color filters is such if light of a pure red color is incident on the image sensor, then the image sensor outputs RGB pixel values chat involve not only a ted pixel value, but also involve a non-7.Pio grpen pixel value and/or no ⁇ -?ero blue pixel value.
- the RGB pixel values oucpuc by the imaqe sensor are therefore not: pixel values for pure red even though pure red light was incident on the image sensor.
- the image sensor may output RGB pixel values that involve not only a green pixel value, but also involve a non-zero red pixel value and/or a non-zero blue pixel value.
- Figure 1 is a diagram that illustrates a set of three unconverted RGB pixels values in a column vector at the right .
- the "R” represents a red pixel value.
- the “G” represents a green pixel value.
- the “B” represents a blue pixel value.
- the column vector is multiplied by first 3x3 conversion matrix using matrix mathematics to generate a corresponding' set of three converted R' G' B' pixel values in a column vector at the left.
- the "R'", “G'” and “B'” represent the red, green and blue pixel values as converted (i.e., corrected) .
- Figure 2 illustrates an example where pure reel light is detected as a set of three RGB pixel values of (100,50,50).
- the "100” in this notation indicates an intensity of red.
- the next “50” indicates an intensity of green.
- the last “50” indicates an intensity of blue.
- the first 3x3 matrix is applied such that a set of three R' G' B' pixel values of (200, 0, 0) is output. Note that the correction works properly : t; L haL cheie is no giee;. ⁇ _.: blue component in the resulting converted pixel values (200.0,0) .
- Figure 3 illustrates how three different sets o£ RGB pixels values are converted using the first matrix.
- the "ftl" above the arrow represents use of the first matrix.
- the uppermost conversion is the conversion illustrated above in Figure 2 for a condition where pure red light is incident upon the image sensor.
- the next lower conversion is a conversion for a condition where pure green light in incident upon the image sensor.
- the resulting pixel values (0,200,0) is corrected in that they involve no red. component or blue component .
- the bottom-most conversion is a conversion for a condition where pure blue light is incident upon the sensor.
- the resulting pixel values (0,0,200) is corrected, in the that the values involve no red. or green component .
- Figure 4 illustrates two transformations.
- the upper transformation illustrates the transformation of pixel values (75,50,75) output by the image sensor when pure magenta light is incident upon the image sensor.
- the red. pixel value and the blue pixel value are both 75. The value is therefore said, to be "balanced.” .
- a typical image sensor may, however, not necessarily output balanced pixel values if pure magenta light is incident upon the image sensor.
- the image sensor may, for example, output an unbalanced value of (75,50,70) .
- the red and blue components in the unbalanced value are not identical .
- Figure 5 illustrates a second matrix
- the unbalanced (75,50,70) pixel values are multiplied by the second ma t i i x to output, a "corrected" value (100,0,100) .
- the result is correct in that the red and blue components are equal, and there is no green component.
- each set of three RGB pixel values is treated separately. If the RGB pixel value is one of the sensor output values that would have resulted were pure red, pure green, or pure blue to have been incident on the image sensor as indicated in Figure 3, then the first matrix is applied to perform color correction on the RGB pixel values. If, on the other hand, the set of RGB pixel values is the set of unbalanced sensor output values that would have resulted if magenta were incident upon the image sensor as indicated in the bottom example of Figure 4, then the second matrix is applied. A decision is therefore made, on a pixel-by-pixel basis, as to which matrix is to be used, to perform the color correction.
- FIG. 6 illustrates three additional transformations.
- the upper transformation illustrates a transformation of balanced RGB pixel values (75,75,50) that would be output from the image sensor if pure yellow light were incident upon the image sensor.
- the RGB pixel values are "balanced" because the intensities of red and green are identical. If the first matrix is applied, then a proper RGB value of (100,100,0) is output as indicated by the uppermost transformation. Again, an image sensor may not output a balanced value when pure yellow is incident upon it.
- the image sensor may, for example, output an RGB value of (75,70,50) .
- Figure 7 illustrates a third matrix that properly converts the unbalanced yellow sensor pixel values (75,70,50) of Figure 6 into a converted RGB pixel values (100,100,0) .
- the red. and green components are equal, and there is no blue component. Accordingly, for each set of RGB pixel values, a determination is made as to which one of the three matrices (matrix 1, matrix 2 f or matrix 3) will be used.
- Figure 8 illustrates three such transformations that cannot be performed using the three exemplary matrices. A significant number of matrices therefore may be employed to perform adequately accurate color correction in a digital image capture device.
- Figure 9 is a diagram that illustrates a use of six different matrices to perform so called
- the two dimensional diagram illustrates the YCbCr color space .
- Each pixel involving a set of three RGB pixel values can be converted using a well known conversion matrix into another set of three YCbCr pixel values.
- the YCbCr- pixel values are said to be in the YCbCr "color space” whereas the RGB pixel values are said to be in the "RGB” color space.
- Color and luminance information about a pixel can be represented by a set of three RGB pixel values and ca;i a.' si be represented by a set of thr ⁇ e YCbCr pixel values
- the Y represents brightness (or luminance) of the pixel.
- the Cb and Ct values define t. he color (or chrominance) of the pixel .
- the two dimensional diagram of Figure 9 therefore represents a graph of all possible chrominances that a pixel can have.
- the color space of the diagram is sectioned into six areas 1-6.
- Color correction is performed on a first set of three pixel values by determining a color phase of the pixel values.
- the first set of pixel values (Y 1 , Cb 1 , Cr 1 ) is in the YCbCr color space.
- the color phase is determined from the Cb 1 and Cr 1 chrominance values of the pixel .
- the determined color phase is then used to determine a phase difference.
- the phase difference is used to control an amount of color phase rotation applied to the chrominance pixel values of the first set . How the color phase determines the phase difference is a function, and this function is chosen to perform the correct amount of color rotation at each color phase.
- the determined color phase is also used to determine a first gain.
- the first gain is used to control a scaling of the rotated chrominance pixel values, thereby generating color-corrected chrominance pixel values Cb 2 and Cr 2 .
- How the color phase determines the first gain is a function, and this function is chosen to perform the correct amount of scaling at each color phase .
- the determined color phase is also used to determine a second gain.
- the second gain is used to control an amount of scaling applied to the Y 1 luminance pixel value of the first set, thereby generating the color-corrected luminance pixel value Y 2 .
- How color phase determines the second gain is chosen to perform the correct amount, ct s_al : r g a ⁇ ea . v . color phase
- me functions chat determine how the color phase determines the phase difference, how the color phase determines the first gain, and how the color phase determines the second gain are implemented in lookup table memories.
- An image capture device (for example, a digital camera or a cellular telephone having digital camera functionality) implements the color correction described above.
- the image capture device has a plurality of light condition settings. Different lookup table values are used depending on the lighting condition setting in which the image capture device is operating .
- Figure 1 is a diagram that illustrates conventional color correction wherein a conversion matrix is used to convert a set of pixel values into a color- corrected set of pixel values .
- Figure 2 (Prior Art) illustrates an example where pure red light is detected as a set of three RGB pixel values of (100,50,50) and these pixel values are color corrected using the matrix of Figure 1.
- Figure 3 (Prior Art) illustrates three examples of color correction using the matrix of Figure 1.
- Figure 4 (Prior Art) illustrates two examples of how pixel values obtained by sensing pure magenta light on r wo different: image sensors are convert, ed using the Tiarrix of Figure 1
- Figure 5 (Pr JO: Art! illustrates a second matrix usable co color correct, the unbalanced pixel values of Figure 4.
- Figure 6 (Prior Art) illustrates three examples of how pixel values obtained by sensing pure yellow light on two different image sensors might be converted using the matrices of Figures 2 and 5.
- Figure 7 (Prior Art) illustrates how a third matrix can be used Co color correct a sec of unbalanced pixel values of Figure 6.
- Figure 8 (Prior Art) illustrates three color correction conversions chat cannot be performed using the three matrices of Figures 2 , 5 and. 7.
- Figure 9 illustrates how a set of pixel values is color-corrected using a selected one of six different matrices.
- the matrix selected to correct a set of pixel values depends on which one of six areas of the CbCr color space contains the set of pixel values _
- Figure 10 is a simplified block diagram of a novel image capture device that performs a novel color correction method.
- Figure 11 is a diagram that illustrates how a phase angle is determined from the first Cb 1 and Cr 1 chrominance pixel values.
- Figure 12 illustrates a function for using a phase angle value to determine a phase difference value.
- Figure 13 illustrates how a phase difference value is usable to perform color rotation, thereby converting the first Cb 1 and Cr 1 chrominance values into intermediate Cb 1 and Cr 1 chrominance values.
- Figure 14 illustrates a function for using a phase angle value to determine a first gain value (S_GAIN) .
- Figure 16 illustrates a function for using a phase angle value to determine a second gain value (B_GAIN)
- Figure 17 illustrates how a second gain value (B_GA1N) is usable to perform luminance scaling (gain adjustment) on the first Y 1 luminance value, thereby generating a second, luminance value Y J .
- the pixel values Y 2 , Cb 2 and Cr 2 are the color-corrected pixel values generated by the novel image capture device of Figure 10.
- Figure 18 is a diagram of another embodiment. Color correction in the embodiment of Figure 18 is performed in the HSB (Hue, Saturation, Brightness) color space .
- HSB Human, Saturation, Brightness
- FIG. 10 is a diagram of an image capture device 10 in accordance with one novel aspect.
- Image capture device 10 may, for example, be a digital camera or a mobile communication device that includes digital camera functionality.
- Image capture device 10 includes a sensor portion 11 and a color correction portion 12.
- Color correction portion 12 receives pixel information from the sensor portion and performs color correction on the pixel information by determining a color phase of the pixel information, and then by using the color phase to control a color phase rotation operation, a chrominance scaling operation, and a luminance scaling operation.
- sensor portion 11 includes an image sensor and analog front end/timing generator (AFE-TG) 13, a Bayer -to RGB conversion circuit 14 and an RGB co YCbCr i.'j.'iveisi ⁇ Lircuit 15
- RGB pixel values includes a red (R) pixel value, a green (G) pixel value, and a blue (B) pixel value. There is one such set of RGB pixel values for each pixel.
- the RGB-to-YCbCr conversion circuit 15 converts the set of RGB pixel values into a first set 26 of pixel values in the YCbCr color space.
- This first set 26 of pixel values involves a first Y 1 luminance value, a first Cb 1 chrominance value, and a first Cr 1 chrominance value.
- the first Cb 1 chrominance value and the first Cr 1 chrominance value are supplied to a polarization block 16.
- Polarization block 16 converts the first Cb 1 chrominance value and the first Cr 1 chrominance value into a corresponding phase angle phi ( ⁇ ) .
- Figure 11 is an illustration of the conversion operation performed by polarization block. 16.
- the pair of first Cb 1 and Cr 1 chrominance values corresponds to a point in the X-Y plane illustrated in Figure 11.
- the phase angle phi from the origin is the arctangent of Cr 1 ZCb 1 .
- the phase angle phi is represented as a ten bit number on parallel bus 17. Values in the range of from 0 to 1024 represent corresponding values in the range of from zero degrees to 360 degrees.
- phase angle phi is supplied in parallel to a color phase adjust circuit 18, a chrominance adjust circuit 19, and a luminance adjust circuit 20.
- Figure 12 is a diagram chat illustrates the cot between the phase angle phi ( ⁇ ) suppl i ed to function block 21 and the phase difference value ⁇ ( ⁇ ) output from function block 21.
- the incoming phase angle phi ( ⁇ ) is represented on the X-axis.
- the resulting phase difference ⁇ ( ⁇ ) is represented on the Y-axis.
- the output phase difference value ranges between a high value of approximately +25 degrees and a low value of approximately -15 degrees.
- the function that converts the incoming phase angle phi ( ⁇ ) into the phase difference value appears as a stepped sinusoidal function.
- phase difference value ⁇ ( ⁇ ) is supplied to a color phase rotation block 22 of the color phase adjust circuit 18.
- Color phase rotation block 22 performs a color phase rotation operation that is controlled by the phase difference value ⁇ ( ⁇ ) .
- Color phase rotation block 22 receives the first Cb 1 chrominance value and the first Cr 1 chrominance value and generates an intermediate Cb 1 chrominance value and an intermediate Cr 1 chrominance value .
- Figure 13 illustrates how an incoming first Cb 1 chrominance value is converted into an intermediate Cb 1 chrominance value depending on the magnitude of the phase difference value. Similarly, the diagram illustrates how an incoming first Cr 1 chrominance value is converted into an intermediate Cr 1 chrominance value depending on the magnitude of the phase difference value.
- the amount of color phase rotation at each phase angle phi can be preset by adjusting how the function of Figure 12 converts the phase angle phi into the phase difference va le if I he function ot c ig i-e ⁇ .2 generates a phdye di£ [eience value of zero f ⁇ _ ⁇ i a particular phase angle phi, then there is no color phase rotation performed for the phase angle phi As seen in Figure 12 no color phase rotation is pet formed for phase angles ⁇ of 0 and 512.
- phase angle phi ⁇ is also supplied to the chrominance adjust circuit 19
- a gam determination block 23 receives the phase angle phi value and converts it into a corresponding gam value S_GAIN
- Figure 14 illustrates how an incoming phase angle phi is converted into a corresponding S-GAIN value.
- the incoming phase phi is represented on the X-axis.
- the resulting S_GAIN value is represented on the Y-axis .
- the values of the S-GAIN values output from gain determination block 23 range from approximately twenty percent to approximately negative twenty percent.
- the function that converts the incoming phase angle phi into an S-GAIN value has the appearance of a stepped sinusoidal wave.
- the S-GAIN value output from gain determination block 23 is supplied to a chrominance gain block 24.
- the chrominance gain block 24 receives the intermediate Cr 1 chrominance and intermediate Cb 1 chrominance values and scales them in accordance with the value of S-GAIN.
- Figure 15 illustrates how an incoming intermediate Cb 1 chrominance value is scaled to generate an output second Cb 2 chrominance value depending on the value of S_GAIN.
- the figure illustrates how an incoming intermediate Cr 1 chrominance value is scaled to generate an output second Cr 2 chrominance value depending on the value of S_GAIN.
- phase angle phi is also supplied to the luminance adjust circuit 20
- a gain determination, block 26 receives the phase angle phi value and converts it into a corresponding gain value B_GAIN.
- Figure 16 illustrates how an incoming phase angle phi is converted into a corresponding B-GAIN value.
- the incoming phase phi is represented on the X-axis.
- the resulting B_GAIN value is represented on the Y-axis.
- the values of the B-GAIN values output from gain determination block 26 range from approximately positive twenty percent to approximately negative twenty percent .
- the function that converts the incoming phase angle phi into a B-GAIN value has the appearance of a stepped sinusoidal wave.
- the B-GAIN value output from gain determination block 26 is supplied to a luminance gain block 27.
- the luminance gain block 27 receives the first Yl luminance value that is being output by RGB-to-YCbCr conversion circuit 15.
- Luminance gain block 27 scales the first Y 1 luminance value depending on the B-GAIN value.
- Figure 17 illustrates how the first Y 1 luminance value is scaled to generate a second Y 2 luminance value depending- on the value of B-GAIN.
- the second Y 2 luminance value is designated in the figure with a two superscript .
- the second Y 2 luminance value as output from luminance gain block 27 is the Y 2 luminance value of the second set 25 of color corrected pixel values .
- Lherec. ' I r. i e ⁇ edi ace Cb 1 and Cr 1 can be input cc the cht orri : ⁇ an! i- ⁇ d]us ⁇ ⁇ . iuuiL 19 and/or to L he 1 urr. e ad]usc circuit 20 through an additional polarization circuit Tn
- the Bayer- to-RGB conversion circuit 14, the RGB-to-YCbCr conversion circuit 15 and the color correction portion 12 are all disposed on a single digital image processing integrated circuit.
- Polarization block 16 may output a number other than a phase angle that is nonetheless indicative of a relationship between the first Cb 1 chrominance value and the fxrst Cr 1 chrominance value.
- Block 16 may, for example, output a simple ratio of the two first chrominance values.
- no block 16 is provided, but rather the two first Cb 1 and Cr 1 chrominance values are supplied directly to lookup blocks 21, 23 and 26.
- the lookup blocks 21, 23 and 26 use the two first Cb 1 and Cr 1 chrominance values to lookup a phase difference value, an S_GAIN value, and a B_GAIN value, respectively.
- the chrominance scaling and color phase rotation operations can be performed in either order.
- an integrated circuit embodying the color correction circuitry described above has an interface for receiving image data from one or more image sensors that do not output Bayer format data, but rather output image data in RGB format or in another color space format .
- the interface on the integrated circuit is configurable to receive image data from a selectable one of these different image sensors.
- Tn OtIf - F-rroo>i : -neii r a user of a digiral camera ran selecc one of a plural it 1 ,' ⁇ f 1 iqht condition seuinqs Alternatively, the camera can put itself into one ot the light condition sett inys
- the function of phase angle implemented by block ?1 is different
- a different lookup table memory may, for example, be consulted depending on the light condition setting
- a single SRAM (static random access memory) lookup table memory may be loaded with different data depending on the light condition setting such that a single lookup table memory can be used for block 21.
- phase angle implemented by blocks 23 and/or 26 can also be made to be different depending on the light condition setting of the camera. There may, for example, be three or more such light condition settings
- the spectrum characteristics of a sensor may vary depending on the manufacturer of the sensor.
- the SRAM lookup table memories are loaded with different data depending on the type of sensor used (for example, CCD or CMOS) in order to compensate for differences between these types of sensors so that any one of multiple different sensors can be used in conjunction, with the same type of color correction integrated circuit in a digital camera. Accordingly, various modifications, adaptations, and combinations of various features of the described embodiments can be practiced without departing from the scope of the invention as set forth in the claims .
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Cited By (1)
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CN102622727A (en) * | 2011-01-27 | 2012-08-01 | 常州芯奇微电子科技有限公司 | Multiple-display-mode-supporting green enhancement processing |
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US5247350A (en) * | 1992-01-09 | 1993-09-21 | Meyer Corwyn R | Method and apparatus for testing video |
US6400371B1 (en) * | 1997-05-16 | 2002-06-04 | Liberate Technologies | Television signal chrominance adjustment |
US20030001952A1 (en) * | 2001-06-15 | 2003-01-02 | Asahi Kogaku Kogyo Kabushiki Kaisha | Electronic endoscope with color adjustment function |
US20030002736A1 (en) * | 2001-06-14 | 2003-01-02 | Kazutaka Maruoka | Automatic tone correction apparatus, automatic tone correction method, and automatic tone correction program storage mediums |
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- 2007-01-07 WO PCT/US2007/000293 patent/WO2008088318A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5247350A (en) * | 1992-01-09 | 1993-09-21 | Meyer Corwyn R | Method and apparatus for testing video |
US6400371B1 (en) * | 1997-05-16 | 2002-06-04 | Liberate Technologies | Television signal chrominance adjustment |
US20030002736A1 (en) * | 2001-06-14 | 2003-01-02 | Kazutaka Maruoka | Automatic tone correction apparatus, automatic tone correction method, and automatic tone correction program storage mediums |
US20030001952A1 (en) * | 2001-06-15 | 2003-01-02 | Asahi Kogaku Kogyo Kabushiki Kaisha | Electronic endoscope with color adjustment function |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102622727A (en) * | 2011-01-27 | 2012-08-01 | 常州芯奇微电子科技有限公司 | Multiple-display-mode-supporting green enhancement processing |
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