Abstract: An image processing apparatus includes: a first noise removing part which performs color noise removing process for a first color image signal having a predefined color space, a transforming part which transforms the first color image signal subjected to the color noise removing process by the first noise removing part into a second color image signal having a color space including a luminance signal and a color difference signal, and a second noise removing part which performs color noise removing process for the second color image signal.

Abstract: A noise reduction system for performing noise reduction processing for an image signal taken in from an image pickup system, includes a local area extracting unit which sequentially extracts, from the image signal, a local area including a target pixel for which the noise reduction processing is performed; a first noise reducing unit which performs random noise reduction processing for the local area; a second noise reducing unit which performs impulsive noise reduction processing for the local area; and a combining unit which combines an image signal which has been subjected to the noise reduction processing by the first noise reducing unit and an image signal which has been subjected to the noise reduction processing by the second noise reducing unit.

Abstract: An image processing apparatus includes an image pickup circuit that performs photoelectric conversion on an optical image, and a chromatic aberration correcting circuit that calculates an amount of shift by chromatic aberration based on a linear function to perform chromatic aberration correction on captured image data in accordance with the amount of shift. The chromatic aberration correcting circuit performs the chromatic aberration correction on a first pixel in a first area including an optical center of the captured image data with a first linear function using a distance from the optical center, and performs the chromatic aberration correction on a second pixel in a second area that does not include the optical center and that is different from the first area with a second linear function using the distance from the optical center.

Abstract: A device and a method for color data correction during color data transmission from a pickup device to an output device. Raw data of the pickup device are converted to uncorrected interim color values with a smaller number of pixels than the pickup device, and the uncorrected interim color values are then subjected to a color correction calculation and are finally converted into corrected interim color values for the output device.

Abstract: Embodiments describe noise reduction methods and systems for imaging devices having a pixel array having a plurality of pixels, each pixel representing one of a plurality of captured colors and having an associated captured color pixel value. Noise reduction methods filter a captured color pixel value for a respective pixel based on the captured color pixel values associated with pixels in a window of pixels surrounding the respective pixel. Disclosed embodiments provide a low cost noise reduction filtering process that takes advantage of the correlations among the red, green and blue color channels to efficiently remove noise while retaining image sharpness. A noise model can be used to derive a parameter of the noise reduction methods.

Abstract: An image processing apparatus with extended dynamic range includes a first gradation-conversion-characteristics calculating unit that calculates first gradation conversion characteristics for each of a plurality of areas of input image signals; and a gradation conversion unit that performs gradation conversion on each of the areas of the image signals by using the first gradation conversion characteristics. A filter processing and reduction processing unit generates a plurality of band signals having mutually different frequency bands by multi-resolution conversion processing from the image signals subjected to the gradation conversion.

Abstract: An image processing apparatus that performs noise reduction processing to image signals comprises a separation and extraction unit that separates a present image signal into a luminance signal and a color signal and extracts regions having a predetermined size sequentially, a representative luminance calculation unit that calculates a representative luminance value, a representative hue calculation unit that calculates a representative hue value of the region, a color noise estimation unit that estimates a color noise amount based upon the representative luminance value and the representative hue value, a differential color signal calculation unit that calculates a differential color signal from the color signal of the region and a color signal of a past region after noise reduction processing and a color noise reduction unit that performs color noise reduction processing to the color signal of the region based upon the color noise amount and the differential color signal.

Abstract: An image processing apparatus includes a gamma transforming unit that performs gamma transformation on an image signal based on a luminance component of the image signal and so as to maintain an RGB ratio of the image signal; a correction-target-value calculating unit that calculates a correction target value as a target value for performing tone correction on the luminance component of the image signal, based on a structure of RGB components contained in an image signal obtained by the gamma transforming unit through the gamma transformation; and a tone correcting unit that performs tone correction on a value of the image signal based on the luminance component of the image signal and the correction target value.

Abstract: A pixel processing method includes: determining a first difference magnitude according to a difference between a predetermined color component value of a target pixel and a predetermined color component of a surrounding pixel positioned on a first direction, determining a second difference magnitude according to a difference between the predetermined color component value of the target pixel and a predetermined color component of a surrounding pixel positioned on a second direction, generating a first determining value according to the predetermined color component values of a plurality of pixels positioned on the first direction and the first difference magnitude, generating a second determining value according to the predetermined color component values of a plurality of pixels positioned on the second direction and the second difference magnitude, and selecting a plurality of specific pixels to compute for a target color component value according to the first and second determining values.

Abstract: A color filter array includes a plurality of white filters, a plurality of yellow filters, a plurality of cyan filters and a plurality of green filters. The plurality of white filters transmits incident light. The plurality of yellow filters transmits a green component and a red component of the incident light. The plurality of cyan filters transmits the green component and a blue component of the incident light. The plurality of green filters transmits the green component of the incident light. An image sensor including the color filter array has high sensitivity and high SNR by increasing transmittance of the incident light.

Abstract: A regression analysis is carried out (8) using pixel signals having a K-th spectral characteristic as the explanatory variable and pixel signals having an L-th spectral characteristic as the purpose variable in a plurality of pixel positions in an area neighboring a pixel of interest to obtain a pixel signal having the L-th spectral characteristic (9). Pixel signals obtained by low-pass filtering (7a-7c) of the output signals of an imaging device may be used as the explanatory variable and the purpose variable. The occurrence of false colors is thereby reduced when, in a group of pixel signals from pixels arrayed on a two-dimensional plane, each pixel having one of a plurality of spectral characteristics, the missing colors at each pixel position are obtained by interpolation.

Abstract: Provided are a method and apparatus for canceling chromatic aberration. In the method, only chrominance signals are filtered using an asymmetrical mask according to the characteristics of chromatic aberration occurring from among a luminance/chrominance coordinates system. Accordingly, it is possible to cancel chromatic aberration regardless of the characteristics of a lens and prevent the resolution of the original image from degrading.

Abstract: An image apparatus has signal slicing unit for two-dimensionally slicing a signal from an imaging device; pixel correlation detection unit for detecting correlation between a center pixel of the signal sliced by the signal slicing unit and its peripheral pixels; correction unit for executing a correction processing for each pixel signal sliced on the basis of the degree of correlation; and synchronization unit for extracting each color signal at the center pixel position of the area sliced by using a signal after correction.

Abstract: An image processing device of the present application detects a color drift of an input image, and includes a saturation reducing section and a color drift detecting section. The saturation reducing section reduces a saturation of the input image and generates a saturation reduction image. The color drift detecting section detects a color drift of the saturation reduction image.

Abstract: An image processing device of the present application includes an image acquisition unit, a slope generation unit, and a slope correction unit. The image acquisition unit takes in an image data generated by an imaging element. The slope generation unit generates a slope correction data correcting, in a slope-shape, a signal irregularity caused in the image data due to a manufacturing process of the imaging element. The slope correction unit corrects the signal irregularity within the image data using the slope correction data.

Abstract: An image processing apparatus and an image processing method are provided that enable accurate detection of color shift occurring due to chromatic difference of magnification. An image processing apparatus includes an image signal extraction unit to extract at least a part of an image signal from image data based on signal characteristics of the image signal, an edge detection unit to detect an edge portion in an image by the image data from a detection target that is the extracted image signal based on a luminance value of the image signal, and a color shift amount detection unit to detect a color shift amount by calculating a correlation of at least two color components contained in the image signal according to a distance from a reference position in the image.

Abstract: Embodiments provide a video camera that can be configured to highly compress video data in a visually lossless manner. The camera can be configured to transform blue and red image data in a manner that enhances the compressibility of the data. The data can then be compressed and stored in this form. This allows a user to reconstruct the red and blue data to obtain the original raw data for a modified version of the original raw data that is visually lossless when demosacied. Additionally, the data can be processed in a manner in which the green image elements are demosaiced first and then the red and blue elements are reconstructed based on values of the demosaiced green image elements.

Abstract: An image processing apparatus capable of suppressing color fringing in a color image further effectively by image processing. A determination unit determines a region in which signal levels for a color plane in a color image produced by photoelectric conversion of an optical image of a subject exhibit a monotonic increase or a monotonic decrease, as a color fringing region in which color fringing occurs. An estimation unit estimates an intensity of the color fringing in the color fringing region determined by the determination unit. A removal unit deducts an estimate value of the intensity of the color fringing estimated by the estimation unit from the intensity of the color fringing in the color fringing region.

Abstract: A color adjusting method of adjusting colors of a color image. The method includes: adjusting a color of the color image by converting a value of a parameter representing a straight line passing through a color to be adjusted in a color space representing the color image.

Abstract: The first array register stores neighboring pixels of the same color as the pixel of interest, which are sorted according to the size of the pixel value. The maximum signal comparison circuit compares the value obtained by adding the threshold ThB to the pixel value maxC, which is the (b1)th largest pixel value of the pixels in the first array register and the pixel value P22 of the pixel of interest. When the comparison shows that the pixel value of the pixel of interest P22 is larger, the pixel of interest P22 is determined to be noise, and the pixel value of the pixel of interest is replaced by maxC. The limit signal comparison circuit compares the pixel value P22 of the pixel of interest and the signal upper limit LB. When the comparison shows that P22 is larger than LB and is equal to or larger than maxC, only the pixel of interest is determined to be totally overexposed, and the pixel value of the pixel of interest is replaced by maxC.

Abstract: An automatic image correction circuit automatically performs image correction on obtained image data. The automatic image correction circuit includes the following elements. A storage unit stores setting values used for the image correction. A reading portion reads the setting values stored in the storage unit every time the image correction is performed on one frame of the image data. A writing portion writes new setting values into the storage unit at a timing different from a timing at which the reading portion reads the new setting values.

Abstract: Device and method of correcting a distortion occurring at the time of displaying a high-resolution image on a low-resolution display unit are provided. The image distortion correcting method includes the steps of: analyzing color levels of all pixels of an input original image; determining a variation of the color levels depending on positions of the pixels; adjusting the variation of the color levels in a region where the variation departs from a predetermined threshold value; correcting the color levels of the pixels in accordance with the adjusted variation; and outputting the corrected image. Accordingly, it is possible to correct the image distortion occurring at the time of displaying an image input from an image sensor on a display module.

Abstract: A chromatic aberration of magnification is corrected by performing a coordinate transformation with respect to image data including chromatic aberration of magnification, which is obtained from a fisheye optical system, based on ? { X = x + ax Y = y + by where x and y represents coordinates of a transformation destination with a center of a screen as an origin, X and Y represents coordinates of a transformation source with the center of the screen as an origin, and a and b are coordinate transformation coefficients.

Abstract: A false color suppression method for a digital image is described. The method is performed in a digital camera, for suppressing the false color of the digital image shot by the digital camera. The method includes separating a luminance part and a chrominance part of a digital image; extracting the chrominance part, and calculating a first color gamut component and a second color gamut component in the chrominance part; setting a critical value according to a photosensitivity during shooting by the digital camera; performing a corresponding pixel uniformization action on the pixel according to a relation between a difference between the pixel and adjacent neighboring pixels and the critical value respectively for the first color gamut component and the second color gamut component; and combining the uniformized chrominance part and the luminance part of the digital image to a suppressed image.

Abstract: In the image pickup system of the present invention, factors that have an effect on noise such as the signal level, temperature of the CCD during shooting, exposure time, gain and the like are dynamically acquired, the noise level of the CCD is estimated, for example, for each pixel by a noise estimating unit, and signal components equal to or less than this noise level in the video signals are suppressed by a noise reducing unit, so that a high-quality image that is substantially free of noise is obtained while preserving the edges of the image and the like.

Abstract: An image pickup apparatus including a chromatic aberration of magnification correction device to correct chromatic aberration of magnification of an image by converting coordinates of pixel data of multiple color components of the image using multiple first coordinate conversion memories corresponding to the multiple color components and a distortion correction device to correct distortion of the image corrected with regard to the chromatic aberration of magnification by converting coordinates of the pixel data of multiple color components of the image at one time using a second coordinate conversion memory shared by the multiple color components.

Abstract: An image processing device that processes an image signal in which at least one of a predetermined plural number of color signals intended to constitute the image signal in each pixel is missing in accordance with a pixel position comprises: a component separation unit that separates the color signal into a plurality of components including a first component U, which is a skeleton component, and a second component V obtained from the residual difference between the color signal and the first component; a first interpolation unit that interpolates the first component U such that the first component U in a pixel position in which the color signal is missing is interpolated; and a second interpolation unit that interpolates the second component V such that the second component V in a pixel position in which the color signal is missing is interpolated.

Abstract: A color image sensor has a first, second, and third color component pixels. The third color component pixel includes more intensity information than the first and second color component pixels. A difference estimating section estimates difference in a signal level exerted on a pixel signal of the third color component pixel, using the pixel signal of a pixel peripheral to the third color component pixel. A correcting section corrects the pixel signal of the third color component pixel on the basis of the estimated difference. Accordingly, when the third color component is green in a Bayer array, a pixel signal of a green pixel in a row of red pixels becomes equal to the pixel signal of a green pixel in a row of blue pixels. Therefore, line crawling can be suppressed without smoothing an image.

Abstract: In a color-noise reduction circuit in which a color-difference signal of a target pixel is substituted in a random substitution circuit (104) by a color-difference signal of another pixel within an area including the target pixel, a pixel-substitution color-difference signal that is the substituted signal whose high-frequency components are removed in an LPF (106) and the color-difference signal of the target pixel are added together in a summation circuit (108) at a predetermined ratio obtained by a pixel-substitution utilization rate calculation circuit (107), and is outputted as a noise-reduced color-difference signal of the target pixel. Therefore, efficient color-noise reduction and suppression of occurrence of color jitters can be realized.

Abstract: A method for reducing the row noise from complementary metal oxide semiconductor (CMOS) image sensor by using a local offset correction is disclosed. The method operates on sensor with and without a Color Filter Array (CFA) before any interpolation is applied and estimates the local offset by comparing the rows in a local window. The method also reduces the pixel-to-pixel noise while reducing the row noise.

Abstract: Infrared (IR) camera systems for and a method of obtaining infrared images of target subjects are provided. In one embodiment, an IR camera system (10) includes a lens (12), a number of IR pass filters (14), an optical detector (16), a processor (18) mounted on a circuit board (20), a distance sensor (22), a visible light sensor (24), an IR light sensor (26), an IR illuminator (28), and a number of video outputs (30), all of which may be disposed within an appropriately configured housing (32). The filters (14) are mounted on a juke-box like rack system (34) also included within the housing (32). The processor (18) determines which pass filter is needed in order to optimize the image and sends an electronic signal to the rack system (34) directing the rack system (34) to move the appropriate filter (14) into the optical pathway between the lens (12) and the optical detector (16) and pull all of the other IR filters (14) out of the optical pathway between the lens (12) and the optical detector (16).

Abstract: Disclosed is an apparatus for processing a digital signal in an image sensor. The apparatus includes: a line memory unit for storing an inputted digital signal of red (R), green (G) and blue (B); a kernel generation unit for generating a plurality of kernels after receiving the RGB digital signal from the line memory unit; a false color detection unit for detecting false colors by using the plurality of kernels; an edge detection unit for detecting edges by using the plurality of kernels; an interpolation unit for interpolating the RGB digital signal from the line memory unit; a color space conversion unit for converting the interpolated RGB digital signal into a YCbCr signal; and an image enhancement unit for suppressing the false colors and enhancing the edges in the YCbCr signal in response to outputs of the false color detection unit and the edge detection unit.

Abstract: A video image capture device includes an image sensor including an two-dimensional array of pixel elements overlaid with a pattern of color filters and having a vertical resolution different from the vertical resolutions specified for a group of video formats, a frame buffer for storing digital pixel data outputted by the image sensor, and an interpolator module for interpolating the digital pixel data to generate video data in at least three color planes and having a vertical resolution corresponding to a video format selected from the group of video formats. In one embodiment, the group of video formats includes the NTSC and PAL video formats. The vertical resolution of the image sensor has a value between the vertical resolution of the NTSC and PAL video formats. The interpolator module performs interpolation using a set of combined filters, each of the combined filters incorporating a demosaic filter and a scaling filter.

Abstract: A technique of achieving optimal noise suppression with respect to a video signal whose noise amount differs according to brightness is disclosed, and according to the technique, a low-luminance detecting section 18 detects a video signal of a relatively low luminance, a suppression amount setting section 19 generates a noise suppression amount which becomes larger as the luminance of the video signal becomes lower, and a noise suppressing circuit 17 suppresses noise with the noise suppression amount generated by the suppression amount setting section with respect to the video signal of a relatively low luminance detected by the low-luminance detecting section.

Abstract: An imaging apparatus provides minimal S/N degradation with a high resolution at low illumination. The imaging apparatus includes a CCD, a gain adjusting section, an LPF for performing smoothing on an output signal of the gain adjusting section, and a control section and a selecting section selecting for outputting either the output signal or the LPF according to a magnitude of gain of the gain adjusting section. Also included are a three-dimensional NR for performing recursive noise reduction, a detail extracting section, and an adder that enhance a two-dimensional high-frequency component of an output signal of the three-dimensional NR. The control and selecting sections perform the selection to provide the output signal of the gain adjusting section to the three-dimensional NR when the gain of the gain adjusting section is equal to or lower than a predetermined value. Otherwise, the output of the LPF is provided to the three-dimensional NR.

Abstract: An apparatus for processing a digital image signal includes a pseudo-luminance generator configured to generate pseudo-luminance signals from the image signal. An edge detector detects an edge in the image signal using a part of an interpolated image signal as a luminance signal for a line of the image signal including a pixel subjected to edge detection and using the pseudo-luminance signals for adjacent lines. A color suppressor suppresses pseudo-color present in the chrominance component of the image signal in response to a detected edge. A compensator may be provided to generate a second edge metric relative to the image signal to compensate for an edge detection error occurring in the edge detector. A color suppression coefficient calculator to generate a color suppression coefficient using a first edge metric generated by the edge detector and the second edge metric. Corresponding systems and methods are disclosed.

Abstract: An object of the present invention is to realize an image processing technique of making chromatic aberration correction excellently function and capable of efficiently correcting a chromatic aberration and to reduce storage capacity of parameters used for the chromatic aberration correction. It is constructed so that an image processing unit concurrently performs a chromatic aberration correcting process of correcting a chromatic aberration by an image capturing optical system and a color interpolating process of interpolating a dropout color component pixel by pixel on an image signal obtained from an image capturing device. On the basis of position information of a pixel to be processed obtained from the image processing unit, a control unit determines an image filter to be applied to the pixel. For example, an image filter is generated by combining a filter for chromatic aberration correction and a filter for color interpolating process.

Abstract: Briefly, in accordance with one embodiment of the invention, a digital camera includes: a digital imaging array including a plurality of pixels, and image processing circuitry to process the digital pixel output signals produced by the imaging array. The imaging processing circuitry is adapted to process saturated digital pixel output signals differently from non-saturated digital pixel output signals. In accordance with another embodiment of the invention, at least one integrated circuit includes image processing circuitry. The processing circuitry is adapted to process digital pixel output signals produced by a digital imaging array. The image processing circuitry is further adapted to process saturated digital pixel output signals differently from non-saturated digital pixel output signals.

Abstract: A method (S100) for dynamic range compression of output channel data from an image sensor (2) comprising an array of sensor cells. The method (S100) comprises selecting a window (S130) in the channel data, the window having a reference pixel value and a plurality of nearby pixel values. The reference pixel value originates from a reference cell that is one of the sensor cells and the nearby pixel values originate from the sensor cells that are in close proximity to the reference cell. There is a step of multiplying (S140) the pixel values, in the window, by a respective weight value to provide weighted pixel values and then adding (S150) the weighted pixel values to provide a convolution value. Thereafter, there is a step of providing (S160) a dynamic range compression value for the window from a selected one of the pixel values and said convolution value and then an assigning step (S170) assigns the dynamic range compression value to a selected pixel location comprising part of an image.

Abstract: In some embodiments of the invention, when a color component (e.g. red, green or blue) is reconstructed at a pixel from the intensity values for this component at adjacent pixels, the intensities at the adjacent pixels are assigned weights. Greater weights are assigned to those pixels for which a gradient is smaller. The gradient for each adjacent pixel is indicative of a magnitude of a change of another color component in the direction of the adjacent pixel and/or a magnitude of the rate of change of the other color component in the direction of the adjacent pixel. In some embodiments, the weights are chosen to reduce the impact of noise. In some embodiments, the reconstructed value of a color component is adjusted to incorporate information on color spikes that is carried by another color component.

Abstract: A method of reducing color aliasing artifacts from a color digital image having color pixels includes providing luminance and chrominance signals from the color digital image; using such luminance and chrominance signals to separate the image into textured and nontextured regions having boundaries; downsampling the chrominance signals and texture region mapping; producing cleaned chrominance signals in the textured regions in response to the boundaries of the textured region and chrominance signals; producing cleaned chrominance signals in the nontextured regions in response to the chrominance signals; upsampling the noise-cleaned chrominance signals; and using the luminance and upsampled noise-cleaned chrominance signals to provide a color digital image having reduced color aliasing artifacts.

Abstract: A method and a system for processing images using interpolating. A variation value for different sets of pixels is determined, and the set of pixels with the highest correlation (lowest numeric value) is selected. A missing color at a given pixel is expressed in terms of the information contained in the selected set of pixels. If the variation value is below a certain threshold, due to noise or other factors, an alternative set of pixels using a different variation method may be selected. The missing color is estimated as a weighted sum of, e.g., the green samples divided by the weighted sum of, e.g., the red samples multiplied by the sampled value from the pixel to be estimated.

Abstract: An SPU (image processor) 12 includes: a plurality of defective pixel correction circuits each for correcting a color component signal associated with a defective pixel of an image sensor in accordance with a control signal; an input control circuit for receiving defect correction data transferred from a memory at a time of input of a plurality of color component signals; and a timing generator for generating the control signal based on the defect correction data. The defective pixel correction circuits correct color component signals associated with one and the same defective pixel in parallel, at the same time in accordance with the control signal.

Abstract: An image processing apparatus operates to process input signal samples representative of at least part of a colour video image to produce legal colour signal samples representative of a legal colour version of the image. The apparatus comprises an adjustment factor generator, which operates to generate a plurality of adjustment factors which when combined with the input signal samples have an effect of converting illegal colour pixels of the colour image into legal colour pixels, an adjustment factor softener, which operates to soften the adjustment factors whereby distortion in the legal colour video image produced when the adjustment factors are combined with the input signal samples is substantially reduced, and a colour legaliser coupled to the softener, which operates to combine the softened adjustment factors with the input signal samples to produce the legalised colour signal samples.

Abstract: An image processing circuit for a color image sensor, comprising a color sensitivity correction circuit which adds/subtracts a predetermined offset to/from pixel signals being output by amplifying photoelectric conversion signals of pixels, which have photoelectric conversion element and are arranged in column and row directions, for each column, and multiplies the result by a predetermined gain, wherein the predetermined offset includes a first offset, which is set according to each color, and a second offset, which is set according to a plurality of columns. According to the present invention, the offset of the color sensitivity correction circuit includes a first offset, which is set according to each color, and a second offset, which is set according to a plurality of columns, therefore, periodic moiré in the vertical direction, which is caused by the column output circuit and the output signal supply circuit for each column, can be suppressed, and image quality can be improved.

Abstract: An image-processing apparatus operates in different orientations, producing a source image that may be either right-side up or upside down. The source image is stored in a memory circuit, read from the memory circuit on one order if right-side up, and read from the memory circuit in a different order if upside down, generating an output image that is always right-side up.

Abstract: Image data is inputted from a data processing device 23 into storage means 24 formed on a light-emitting element (yellow) line head 28 so that light emitting elements in one line 28a expose pixels on an image carrier in response to output signal from a shift resistor 24a. As the image carrier is moved in the direction of X to bring said pixels to reach the position corresponding to light emitting elements in the next line 28b, the image data is transmitted to a shift resistor 24b so that the shift resistor 24b outputs the image data to light emitting elements in the line 28b, whereby the pixels are exposed to light again. The movement of the image carrier and the transmission of the image data to the respective shift resistors are sequentially conducted, thereby conducting multiple exposure of each same pixel.

Abstract: Briefly, in accordance with one embodiment of the invention, a method of reducing flicker in a video image sequence includes the following. Successive video images are temporally filtered. The filter length is adjusted so as to reduce the amount of filtering across temporal discontinuities in the video image sequence. Briefly, in accordance with another embodiment of the invention, a method of reducing flicker in a video image sequence includes the following. Successive video images are temporally filtered. The filter length is dynamically adjusted.

Abstract: An CMOS active pixel sensor (APS) imaging system include circuitry to compensate for different analog offset levels from the CMOS pixel array. More specifically, the compensation is performed in the analog (charge) domain. A digital correction value, which may be measured as part of the operation or testing of the CMOS APS system, is provided to a offset correction block circuit, to generate an analog electrical signal. The analog electrical signal is supplied to a sample-and-hold circuit including a charge amplifier. The signal read from the pixel array, after conditioning through an analog signal chain, is also supplied to the charge amplifier, which has a linear transfer function and outputs the compensated signal.

Abstract: Reducing or eliminated color-dependent vignetting in a digital camera includes: providing a raw array of data corresponding to an image of a scene for each color that the camera can image; and adjusting the raw arrays such that the array for each color exhibits substantially the same amount of vignetting.