Abstract: A signal processing apparatus performs predetermined signal processing on an image signal output from an image sensor having a pixel array in which a plurality of pixels are arrayed in a direction along a row and a direction along a column. The signal processing apparatus comprises: a storage unit that stores characteristic information indicating characteristics of signal component mix in each pixel from adjacent pixels according to the pixel position in the pixel array of the image sensor; and a correction unit that calculates a correction coefficient according to the position of a pixel for correction in the pixel array from the characteristic information, and corrects an output image signal of the pixel for correction based on an output image signal of adjacent pixels of the pixel for correction and the calculated correction coefficient.

Abstract: Methods, systems and apparatuses are disclosed for approximating vertical and horizontal correction values in a pixel value correction calculation. Multiple vertical and/or horizontal correction curves are used and may be employed for one or more color channels of the imager. The use of multiple correction curves allows for a more accurate approximation of the correction curves for image pixels.

Abstract: There is provided an imaging apparatus including a correction section configured to amplify an addition pixel value, which is a value obtained by adding results of photoelectric conversion on a plurality of pixels, according to an amplification factor set based on a number of defective pixels included in the plurality of pixels, and output the amplified addition pixel value as a corrected addition pixel value.

Abstract: The present invention relates to a solid-state imaging device, etc., having a structure which enables to obtain an image with higher resolution by correcting pixel data even when any one of row selecting wirings is disconnected. A solid-state imaging device (1) comprises a photodetecting section (10), a signal reading-out section (20), a controlling section (30), and a correction processing section (40). The photodetecting section (10) has M×N pixel portions P1,1 to PM,N two-dimensionally arrayed in M rows and N columns, and each of the pixel portions P1,1 to PM,N includes a photodiode which generates charges of an amount corresponding to an incident light intensity and a reading-out switch connected to the photodiode. Charges generated in each of the pixel portions P1,1 to PM,N are inputted into an integrating circuit Sn through a reading-out wiring LO,n.

Abstract: A defect pixel detection apparatus includes an image sensor which includes an effective pixel configured to have a photoelectric conversion element and an output unit configured to output a pixel signal generated by the photoelectric conversion element, a first reference pixel configured to have the same pixel configuration as the effective pixel and be optically shielded, and a second reference pixel configured to have a pixel configuration different from that of the effective pixel, a defect level acquiring unit configured to acquire a defect level of a target pixel in the image sensor, and a defect pixel determination unit configured to determine whether the target pixel is a defect pixel by comparing a defect level of the target pixel with a defect detection threshold according to a type of the pixel.

Abstract: Various techniques are disclosed for processing statistics data in an image signal processor (ISP). In one embodiment, a statistics collection engine may be implemented in a front-end processing unit of the ISP, such that statistics are collected prior to processing by an ISP pipeline downstream from the front-end processing unit. In one embodiment, the statistics collection engine may be configured to acquire statistics relating to auto white-balance, auto-exposure, and auto-focus, as well as flicker detection. Collected statistics may be output to a memory and used by the ISP to process acquired image data.

Abstract: A dead pixel compensating apparatus includes, inter alia, a pattern generation unit generating a programmable test pattern including data with respect to at least one dead pixel; a register array storing the test pattern; a dead pixel compensation unit receiving the test pattern stored in the register array and performing a dead pixel compensation algorithm to output compensation data; and a determination unit comparing the test pattern and the compensation data to determine whether or not the dead pixel compensation algorithm has an error, wherein a dead pixel compensation algorithm for compensating for a dead pixel of an image sensor in image data supplied from the image sensor is tested.

Abstract: A defective pixel correction apparatus includes a defect pattern acquisition unit configured to acquire, as a defect pattern, a pattern of positions of a plurality of defective pixels in a group of pixels used to correct a noted pixel, a pixel selection unit configured to select one or more pixels from among pixels other than the defective pixels in the group of pixels on the basis of the defect pattern, and a defective pixel correction unit configured to correct the noted defective pixel using the selected pixels.

Abstract: The present disclosure relates generally systems and methods for image data processing. In certain embodiments, a method for transferring the image data may include processing the image data in an image sensor by correcting one or more defective pixels in the image data based on a one-dimensional defective pixel correction algorithm; horizontally demosaicing the image data based on a one-dimensional horizontal demosaic algorithm; or a combination thereof. After processing the image data, the method may include horizontally downscaling the processed image data in the image sensor and vertically downscaling the horizontally downscaled image data in an image signal processor to be displayed for viewing on a display device.

Abstract: Various techniques for applying binning compensation filtering to binned raw image data acquired by an image sensor are provided. In one embodiment, a binning compensation filter (BCF) includes separate digital differential analyzers (DDA) for vertical and horizontal scaling. A current position of an output pixel is determined by incrementing the DDA based upon a step size. Using the known output pixel position, a center source input pixel and an index corresponding to the between-pixel fractional position of the output pixel position relative to the input pixels may be selected for filtering. Using the selected center input pixel, one or more same-colored neighboring source pixels may be selected. The number of selected source pixels may depend on the number of taps used by the scaling logic, and may depend on whether horizontal or vertical scaling is being applied.

Abstract: An adaptive image processing method includes: defining a pixel zone involving a target pixel according to a color corresponding to the target pixel; selecting a plurality of adjacent pixels from the pixel zone, wherein the adjacent pixels and the target pixel correspond to the same color; acquiring a defect pixel threshold value by calculating a product of a sum of absolute differences between each pixel of the plurality of adjacent pixels and a defected pixel compensation ratio; acquiring an adjacent difference value by calculating a sum of absolute differences between the target pixel and each pixel of the plurality of adjacent pixels; and determining whether the target pixel is a defect pixel by comparing the defect pixel threshold value with the adjacent difference value.

Abstract: An electronic camera includes: an image sensor having a charge transfer unit that transfers an electric charge for each pixel column; a correction unit that corrects an electric charge signal outputted from the charge transfer unit using a correction coefficient; and a control unit that controls the correction unit so that the correction coefficient is different according to operational conditions of the image sensor.

Abstract: A pixel defect detection and correction device includes: an average value acquisition section that acquires an average value of pixel values of adjacent pixels with different colors excluding a pixel whose defect is to be detected, which is a pixel of interest, in a processing region where adjacent pixels with the same color and adjacent pixels with different colors are arrayed with the pixel whose defect is to be detected in the middle; and a defect determining section that determines whether the pixel whose defect is to be detected is defective on the basis of at least the average value. The defect determining section determines whether the pixel whose defect is to be detected is defective by comparison of the pixel value of the pixel whose defect is to be detected, the average value of adjacent pixels with different colors, and a designated different-color pixel threshold value.

Abstract: An image format for storing digital images within a baseline DCT compatible bitstream comprises entropy coded image data, a first application marker storing a first data value using a first encoding method to convey a first information value related to the image, and a second application marker storing a second data value using a second encoding method to convey the same said first information value related to the image. More specifically, the first application marker uses TIFF tags within an Exif application marker and the second application marker uses a FlashPix compatible structured storage stream, while the entropy coded data includes restart markers to define tile boundaries within the entropy coded image data.

Abstract: A device for correcting a defect pixel value of a CMOS image sensor unit is proposed, the image sensor unit comprising at least a first and a second pixel array. The image sensor unit is arranged to project the same image onto each pixel array. The correcting device comprises at least a first and a second input channel for receiving pixel values of the first and the second pixel array, respectively. The processing device is operable to replace the defect pixel value by a corrected pixel value, which is determined from values of neighboring pixels to the defect pixel of the same pixel array. The corrected pixel value is evaluated with respect to values of a corresponding pixel and its neighboring pixels of the second pixel array at the same location as the defect pixel of the first pixel array in respect to the projected image.

Abstract: The invention discloses a method and circuit for correcting defect pixels in an image signal. First, the invention generates a luminance histogram for all pixels in the image signal and then selects N candidate defect pixels from all pixels according to the luminance histogram and a first threshold. Afterward, the invention sets a window for each candidate defect pixel and then calculates N averaged luminance corresponding to the N windows. Further, the invention judges whether an absolute difference between the luminance of each candidate defect pixel and the corresponding averaged luminance is larger than a second threshold. If it is YES, the candidate defect pixel is recorded as a real defect pixel. Finally, the invention utilizes at least one non-defect pixel around the real defect pixel to correct the real defect pixel. The invention not only compensates the defect pixels accurately and effectively but also reduces required time in correction.

Abstract: An imaging apparatus including a pixel, a current source, and a signal processing circuit. The pixel outputs signal charge, obtained by imaging, as a pixel signal. The current source is connected to a transmission path for the pixel signal and has a variable current. The signal processing circuit performs signal processing on a signal depending on an output signal to the transmission path and performs control so that a current of the current source is changed in accordance with the result of signal processing.

Abstract: An image capturing system includes: a first noise reduction unit which roughly removes the effects of an edge component by performing edge-preserving adaptive noise reduction processing on a target pixel within a local region including the target pixel and the neighboring pixels extracted from an image signal acquired from a CCD; a noise estimation unit which dynamically estimates the noise amount with respect to the target pixel based upon the target pixel value thus subjected to the noise reduction processing by the first noise reduction unit; and a second noise reduction unit which performs noise reduction processing on the target pixel based upon the target pixel value thus subjected to the noise reduction processing by the first noise reduction unit and the noise amount thus estimated by the noise estimation unit.

Abstract: Image defects in digital images are easily detectable by the human eye but may be difficult to detect in a computer-implemented fashion. In an embodiment of a digital-image-acquisition device, defects are removed on the CFA domain before color interpolation takes place. In order to allow cancellation of couplets of defective pixels, a two pass embodiment is presented. Such embodiment presents methods and systems that can remove both couplets and singlets without damaging the image. The system includes a ring corrector that detects a defect in the ring of pixels that surround a central pixel, a singlet corrector that detects and corrects the central pixel and removes a couplet if the ring corrector is activated, whereas if the ring corrector is switched off, the singlet corrector only removes singlets, and a peak-and-valley detector that avoids overcorrection by avoiding correcting signal peaks or valleys in case of spikes or drops in signal.

Abstract: An image processing apparatus for processing an output of an image pickup element having ordinary pixels arranged in a horizontal direction and a vertical direction and functional pixels arranged discretely between the ordinary pixels, is arranged to estimate an image signal at a position of the functional pixel by a gain correction operation of outputs of the functional pixels, estimate an output of the image signal at the position of the functional pixel on the basis of outputs of reference pixels selected from the ordinary pixels around the functional pixel, and select the image signal at the position of the functional pixel on the basis of an estimation result by the gain correction from one or a plurality of estimation results obtained using the reference pixels.

Abstract: An imaging apparatus includes: an imaging unit configured to image an image using an imaging device; an image obtaining unit configured to obtain a plurality of images equivalent to the time of dark, imaged by the imaging unit; a registering unit configured to register, with an image obtained by the image obtaining unit, the address and change amount of a pixel where the output value of the pixel changes so as to exceed a predetermined threshold; and a correcting unit configured to correct, when taking a pixel corresponding to an address registered by the registering unit as a processing object pixel, the pixel value of the processing object pixel based on comparison between difference of the output values of the processing object pixel and a peripheral pixel of the processing object pixel, and the change amount of the processing object pixel.

Abstract: A method for detecting dead pixels obtains a downsampling set formed by a plurality of sample pixels by downsampling a to-be-tested image, and computes a moving average for each sample pixel to determine whether the sample pixel is a dead pixel candidate. If so, all pixels in a neighborhood of the dead pixel candidate are determined as to-be-detected pixels. For each to-be-detected pixel, a compensated value and a weighted average under a mask are estimated. A hypothetic dead pixel value is obtained by comparing an original pixel value of each to-be-detected pixel and the moving average of the dead pixel candidate. Whether the to-be-detected pixel is a dead pixel is determined by using the original pixel value, the compensated value, the weighted average and the hypothetic dead pixel value.

Abstract: An image capturing system includes a signal correction unit which corrects a signal output from a defective pixel in an optical black region based on a signal output from a normal pixel. The optical black region has a plurality of pixel blocks. Each of the plurality of pixel blocks has a plurality of pixels each including one or more elements which have the same functions as in the remaining pixels and which have relative positions different from the remaining pixels. The signal correction unit corrects the signal output from the defective pixel in the optical black region based on a signal output from a normal pixel which is included in another pixel block different from the pixel block of the defective pixel in the optical black region and includes one or more elements having the same functions and same relative positions as in the defective pixel.

Abstract: Described is a device (e.g., a cell phone incorporating a digital camera) that incorporates a graphics processing unit (GPU) to process image data in order to increase the quality of a rendered image. The processing power provided by a GPU means that, for example, an unacceptable pixel value (e.g., a pixel value associated with a malfunctioning or dead detector element) can be identified and replaced with a new value that is determined by averaging other pixel values. Also, for example, the device can be calibrated against benchmark data to generate correction factors for each detector element. The correction factors can be applied to the image data on a per-pixel basis. If the device is also adapted to record and/or play digital audio files, the audio performance of the device can be calibrated to determine correction factors for a range of audio frequencies.

Abstract: Described is a device (e.g., a cell phone incorporating a digital camera) that incorporates a graphics processing unit (GPU) to process image data in order to increase the quality of a rendered image. The processing power provided by a GPU means that, for example, an unacceptable pixel value (e.g., a pixel value associated with a malfunctioning or dead detector element) can be identified and replaced with a new value that is determined by averaging other pixel values. Also, for example, the device can be calibrated against benchmark data to generate correction factors for each detector element. The correction factors can be applied to the image data on a per-pixel basis. If the device is also adapted to record and/or play digital audio files, the audio performance of the device can be calibrated to determine correction factors for a range of audio frequencies.

Abstract: Described is a device (e.g., a cell phone incorporating a digital camera) that incorporates a graphics processing unit (GPU) to process image data in order to increase the quality of a rendered image. The processing power provided by a GPU means that, for example, an unacceptable pixel value (e.g., a pixel value associated with a malfunctioning or dead detector element) can be identified and replaced with a new value that is determined by averaging other pixel values. Also, for example, the device can be calibrated against benchmark data to generate correction factors for each detector element. The correction factors can be applied to the image data on a per-pixel basis. If the device is also adapted to record and/or play digital audio files, the audio performance of the device can be calibrated to determine correction factors for a range of audio frequencies.

Abstract: Defective pixels are to be selected so as not to cause image degradation. A defective pixel correction unit 13 in an image processing apparatus 1 obtains an imaging signal a12 from an imaging sensor 16 via a gain adjustment unit 12, and calculates an absolute value for the pixel value difference between a pixel to be tested for a defect of the imaging sensor 16 and each of its surrounding pixels, respectively. Next, the defective pixel correction unit 13 compares the differential with a defective pixel determination threshold value and determines the pixel being tested as defective, if the differential is greater than the threshold value. It should be noted that the threshold value is changed according to the magnitude of an image transition, by detecting the image transition of a video signal a14 in an image transition detection unit 15.

Abstract: An image processor which is capable of performing correction of defective pixels without degrading image quality when synthesizing a plurality of still images. When a plurality of image data items are synthesized, a first reference value which is smaller than a second reference value for use in determining whether or not to correct pixel data forming the image data is compared with a pixel value indicated by each of synthesized pixel data items forming the synthesized image data, and first correction processing is performed in which the synthesized pixel data of the synthesized image data is corrected according to a result of comparison.

Abstract: An image pickup apparatus which can detect, when pixels have a structure in which part of electrical construction is shared therebetween, a defective pixel by taking into account a high possibility of the other pixels sharing the part of electrical construction becoming defective pixels, thereby making it possible to obtain an excellent image. A ROM stores in advance position information on each defective pixel. A defective pixel-detecting section detects a new defective pixel on which position information is not stored by the storage unit, from the pixels forming each pixel group, by performing one of different types of defective pixel detection processing. A system controller causes the defective pixel-detecting section to execute one of the different types of detection processing, according to the number of defective pixels which are included in each pixel group and on which the position information is stored in the storage unit.

Abstract: A column circuitry architecture for an imager includes redundant column or row circuits. The column or row circuitry includes a number of redundant column or row circuits. Each column or row circuit include circuitry for controllably coupling the column or row circuit to one of plural signal lines from an array of pixels. A control mechanism is used to select a configuration of plural column or row circuits in the column or row circuitry. In this manner, some column or row circuits are decoupled from the pixel in favor of other column or row circuits. The decoupled column or row circuits may include defective or noisy circuits.

Abstract: A device includes a first isolated-point candidate detection section calculates a parameter value used for detecting an isolated-point candidate from a near-field region of a target pixel of a color image signal, a color-space conversion section combines a plurality of signals constituting the color image signal together, and converts the combined signals into a plurality of color signals on defined color space, a second isolated-point candidate detection section calculates a parameter value used for detecting an isolated-point candidate from a near-field region of a target pixel of the converted color signal, and an isolated-point degree determination section determines an isolated-point degree on the basis of parameter values calculated by the isolated-point candidate detection sections.

Abstract: A shader can include a series of instructions, among which are horizontal instructions and vertical instructions. Executing such shader for rendering animation information may mean many redundant computations on millions of graphic data points. Thus, vertical instructions are separated out from horizontal instructions and executed in a vertical manner, thereby reducing rendering time and cache space used during the process. That is, a block of instructions is recursively subdivided until a number of instructions that are to be executed in a horizontal manner are approximately minimized in each sub-block. All of the identified vertical sub-blocks can process each data point individually and independently from other data points, thereby achieving various advantages, including, but not limited to, temporary processing, index processing, efficient caching and the like.

Abstract: According to one embodiment, an image defect correction processing circuit includes a signal level comparator circuit and a defect correction circuit. The signal level comparator circuit extracts the maximum signal level and the minimum signal level from a plurality of pixel signals existing around a correction target pixel. The defect correction circuit executes defect corrections with respect to the correction target pixel.

Abstract: An image capturing apparatus comprises: an image sensor including a plurality of pixels each having a microlens and a plurality of photoelectric conversion means, and defective pixel detection means for detecting defective photoelectric conversion means from among the plurality of photoelectric conversion means, wherein the defective pixel detection means determines defective photoelectric conversion means by comparing an output signal output from photoelectric conversion means of a subject, sequentially taken from the plurality of photoelectric conversion means, for detection with first signals from photoelectric conversion means included in pixels neighboring the pixel including the photoelectric conversion means of the subject for detection, each position of the photoelectric conversion means included in the neighboring pixels corresponding to a position of the photoelectric conversion means of the subject for detection with respect to the microlens.

Abstract: A digital camera (1) includes: an imaging unit (16) having an imaging element that includes a plurality of pixels, and generates a pixel value for each of the plurality of pixels as image data; a position specification unit (53) that specifies a position of a defective pixel among the plurality of pixels, in the image data generated by the imaging unit (16); a region specification unit (54) that specifies a region in the image data in which image noise occurs due to the defective pixel, based on the position specified by the position specification unit (53); and a correction unit (55) that corrects a pixel value of each of a plurality of pixels included in the region in the image data specified by the region specification unit (54), based on a weighted average of pixels values of a plurality of pixels located at a periphery of the region.

Abstract: A method of reducing aberrations in a digital image comprises capturing input samples associated with a plurality of pixels arranged in a matrix, wherein each pixel is associated with a color defining the digital image; establishing vertical chrominance groups associated with columns of the matrix and horizontal chrominance groups associated with rows of the matrix; determining chrominance values for the chrominance groups; determining, for each chrominance group, a mean value and, a sum of absolute differences between the chrominance values and the mean value for the chrominance values of the chrominance group; calculating, by a signal processing device, a plurality of weights comprising vertical weights associated with the vertical chrominance groups and horizontal weights associated with the horizontal chrominance groups based upon the sums of absolute differences; and determining a missing color component for a predetermined pixel of the plurality of pixels using the plurality of weights.

Abstract: A direction in which pixels highly correlated with a signal value of a pixel of interest exist is determined by using both signal values of a plurality of pixels of different colors from the pixel of interest and of a plurality of pixels of the same color as the pixel of interest among a plurality of peripheral pixels of the pixel of interest, and obtains pixel correction values corresponding to the respective directions. Weighted addition of those pixel correction values is performed in accordance with the degree to which the pixel of interest is of an achromatic color, and the pixel correction value for the pixel of interest is thus obtained.

Abstract: A method for reducing noise in an image from an image capture device includes filter the image using both an offset fixed pattern noise filter and a gain fixed pattern noise filter. Thereafter, the image is filtered using a remnant fixed pattern noise filter to reduce remnant fixed pattern noise.

Abstract: A method for reducing noise in an image from an image capture device includes filter the image using both an offset fixed pattern noise filter and a gain fixed pattern noise filter. Thereafter, the image is filtered using a remnant fixed pattern noise filter to reduce remnant fixed pattern noise.

Abstract: A method for replacing defective pixels in a digital color image includes determining whether each pixel has defective data in a selected color channel; for the pixel, determining whether a first reference color channel exists and, if so, correcting the defective data by defining a group of neighboring pixels; for each of m neighboring pixels having non-defective data in the selected color channel and the reference color channel, computing a sum of the differences between the non-defective data in the selected color channel and the non-defective data in the first reference color channel; adding the sum of the differences divided by m to the non-defective data value from the first reference color channel to obtain a result; dividing the result by two to obtain a substitution data value; and substituting the substitution data value for the defective data.

Abstract: An image pickup apparatus arranged to derive a change amount of an image B to an image A as combination position information, on the basis of which the image B is combined to the image A by shifting a position of the image B to generate a combined image D and a position of pixel defect information of the image B is changed, and synthesize pixel defect information of the image A and pixel defect information of the image B after the change to generate pixel defect information of the combined image D such that the pixel defect information in which a detection level corresponding to ISO100 is deleted from the pixel defect information of the combined image D and a detection level of pixel defect information of the pixel shown by same addresses is raised.

Abstract: Pixel values of focus detection pixels are suitably corrected according to reducing occurrence of a residual error of correction. A digital camera 11 includes a CCD 32, an AF detection circuit 46, a specific pixel correction unit 48 and the like. The CCD 32 has standard pixels and phase difference pixels arranged in a predetermined pattern on an imaging surface, and outputs an image signal of one frame. The AF detection circuit 46 evaluates an in-focus state by referring to a pixel value of the phase difference pixels from the image signal. The specific pixel correction unit 48 determines a first correction value by multiplying the pixel value of the phase difference pixels by a predetermined gain, and compares the first correction value with the pixel value of the standard pixels around the phase difference pixels.

Abstract: A method and combined video display and camera system are disclosed. In one embodiment, the system comprises a first sheet and a second sheet oriented parallel to the first sheet, the second sheet including a light diffuser. A light source is placed along an edge of the second sheet, wherein the second sheet diffuses light generated by the light source. One or more cameras are placed behind the second sheet to capture an image through the second sheet and the first sheet.

Abstract: An image pickup apparatus having an image pickup element with a plurality of image pickup pixels and a plurality of focus detection pixels, a focus detector performing a focus detection based on the output from the focus detection pixels corresponding to a focus detection area, and a setter configured to set a usable F-number based on stored information of a defective pixel that exists in the focus detection pixels. When the defective pixel exists in the focus detection pixels corresponding to the focus detection area, if an F-number is within the usable F-number, the focus detector performs focus detection by using the output from the defective pixel, and if the F-number is out of the usable F-number, the focus detector performs focus detection without using such output.

Abstract: According to embodiments, an image processing apparatus includes an image signal holding unit. The image processing apparatus uses an image signal passing through the common image signal holding unit to generate first, second and third correction values. The first correction value is a signal value applied to a pixel in which saturation of an output occurs in a saturation determination. The second correction value is a signal value subjected to a noise cancellation process. The third correction value is a signal value applied to a pixel in which defect occurs in a defect determination.

Abstract: Various techniques are provided herein for processing raw image data in front-end processing logic of an image signal processing system. In one embodiment, the front-end processing logic includes a statistics processing unit configured to process raw image data acquired by an image sensor to obtain one or more sets of statistics. The statistics processing unit may first correct defective pixels in the raw image data and then correct lens shading errors in the raw image data prior to extracting the statistics information. In certain embodiments, black level compensation may be applied between the defective pixel correction and lens shading correction steps, and inverse black level compensation may be applied between the lens shading correction step and the extraction of the statistics information. The acquired statistics information may be utilized by an image signal processing pipeline for converting the raw image data into a color (e.g., RGB) and/or luma (e.g., YCbCr) image.

Abstract: An imaging system including: an imaging device; a light blocker for blocking a light receiving section of the imaging device from light; a pixel defect correction section configured to detect and correct defective pixels of the imaging device; a signal processing section configured to process a pixel signal corrected by the pixel defect correction section; and a control for controlling the signal processing section and the light blocker according to information obtained by the pixel defect correction section. The pixel defect correction section has a timing section and measures an operating time with the timing section to estimate a secondary defect count.

Abstract: A solid-state imaging device includes: a pixel array unit formed by two-dimensionally disposing a plurality of pixels each having a photoelectric conversion portion; one or more SRAMs; a memory control section controlling writing of pixel data sequentially output from the pixel array unit into the SRAM and controlling readout of the pixel data from the SRAM; a correction process section performing a process of correcting the pixel data read from the SRAM by the memory control section; a defect detecting section detecting a defective address in the SRAM; and a defect relieving section holding pixel data to be written in the defective address of the SRAM by the memory control section and outputting the pixel data held therein to the correction process section instead of the pixel data which has been written in the defective address of the SRAM.

Abstract: A defect pixel detection apparatus includes an image sensor which includes an effective pixel configured to have a photoelectric conversion element and an output unit configured to output a pixel signal generated by the photoelectric conversion element, a first reference pixel configured to have the same pixel configuration as the effective pixel and be optically shielded, and a second reference pixel configured to have a pixel configuration different from that of the effective pixel, a defect level acquiring unit configured to acquire a defect level of a target pixel in the image sensor, and a defect pixel determination unit configured to determine whether the target pixel is a defect pixel by comparing a defect level of the target pixel with a defect detection threshold according to a type of the pixel.

Abstract: Disclosed is a method for concealing a dark defect in an image sensor. The method includes the steps of: setting a window including five sequential pixels from pixel data sequentially outputted, the third pixel and the fifth pixels being identical in Bayer color with each other and the second and the fourth pixels being identical in Bayer color with each other; calculating an average value ? of the first and the fifth pixels and a plurality of ?/n obtained by dividing the average value ? by n; selecting one of the plurality of ?/n; comparing a threshold value ?+?/n calculated by adding the average value ? to the selected ?/n with a value of the third pixel in size; and omitting a concealment of the dark defect when the threshold value ?+?/n is greater than the value of the third pixel.