Abstract: A direction being across the defective pixel and along which pixels used to calculate a signal level of a defective pixel are located, is determined. A ratio between signal levels of pixels that are adjacent to the defective pixel and that have a different color from the defective pixel, and signal levels of pixels that are adjacent to pixels being located along the determine direction with respect to the defective pixel and having the same color as the defective pixel and that have a different color from the defective pixel, is acquired. A value obtained by multiplying an average value of the signal levels of the pixels used to calculate the signal level of the defective pixel by the calculated ratio is output as the signal level of the defective pixel.

Abstract: An image processing method includes: receiving image data of a Bayer format comprising red color information, green color information, and blue color information, generating image data of a modified Bayer format by combining the green color information with the red color information and combining the green color information with the blue color information while downscaling the image data of the Bayer format to a target resolution, denoising the image data of the modified Bayer format, and generating RGB image data by demosaicing the denoised image data of the modified Bayer format.

Abstract: An image processing apparatus includes a first pixel, a digitization unit, and a correction unit. The first pixel includes a first photoelectric conversion layer for outputting a first electrical signal in response to received incident light, including light of a first color, light of a second color, and light of a third color; and a second photoelectric conversion layer disposed under the first photoelectric conversion layer and for outputting a second electrical signal in response to light transmitted through the first photoelectric conversion layer. The digitization unit generates first original data by digitizing the first electrical signal and generates second original data by digitizing the second electrical signal. The correction unit generates first corrected data corresponding to the light of the first color and second corrected data corresponding to the light of the second color, by respectively correcting the first original data and the second original data.

Abstract: Provided is an image processing device including an image processing unit that sets a RAW image in which a pixel value of a specific color is set in each pixel as an input image and reduces a noise component contained in the input image. The image processing unit includes a local region selection unit, a similar local region selection unit, a band separation unit, a band-classified noise reduction unit, a band combining unit, and a local region combining unit.

Abstract: Noise in RAW image data is reduced. Parameters including pixels used as a target area and reference pixels are determined in the RAW image data, based on color filter information for the RAW image data. The RAW image data is corrected based on the parameters thus determined.

Abstract: Disclosed herein is a camera system including, a camera apparatus having, an image sensor, a correction section, a first transmission processing section, and a synchronization processing section, and a video processing apparatus having a second transmission processing section and a conversion section, wherein the video processing apparatus outputs the video data obtained by the conversion by the conversion section.

Abstract: A first distortion correction unit generates one first output pixel based on two input pixels that are adjacent in a first direction out of a plurality of input pixels included in image data pieces of a captured frame. A second distortion correction unit generates one second output pixel based on two first output pixels that are adjacent in a second direction different from the first direction. The second distortion correction unit successively reads two first output pixels adjacent in the second direction from a storage unit based on input coordinates, which correspond to coordinate values of second output pixels, and generates the one second output pixel by applying linear interpolation processing to the read two first output pixels based on interpolation coefficient.

Abstract: A technique is provided for generating sharp, well-exposed, color images from low-light images. A series of under-exposed images is acquired. A mean image is computed and a sum image is generated each based on the series of under-exposed images. Chrominance variables of pixels of the mean image are mapped to chrominance variables of pixels of the sum image. Chrominance values of pixels within the series of under-exposed images are replaced with chrominance values of the sum image. A set of sharp, well-exposed, color images is generated based on the series of under-exposed images with replaced chrominance values.

Abstract: Embodiments of imaging devices of the present disclosure obtain color images from a monochromatic image sensor based on a series of several images taken at different focal positions of an optical imaging lens possessing a chromatic aberration.

Abstract: A deterioration in image quality caused by correction can be prevented in comparison to when consideration is not given to the sequence in which correction is performed on an image captured by an image pickup device. An imaging apparatus 10 is configured including an optical system 12, an image pickup device 14, an image capture correction processing section 16, and an image processing section 18. The image capture correction processing section 16 is configured including a color mixing correction section 20, a noise correction section 22, an offset correction section 24 and a gain correction section 26. The color mixing correction section 20 reads image data from the image pickup device 14 and performs color mixing correction processing thereon. The noise correction section 22 performs noise correction processing on the image data on which the color mixing correction section 20 has performed color mixing correction processing.

Abstract: An electronic device includes a memory configured to receive data representing light intensity values from pixels in a focal plane array and a processor that analyzes the received data to determine which light values correspond to triggered pixels, where the triggered pixels are those pixels that meet a predefined set of criteria, and determines, for each triggered pixel, a set of neighbor pixels for which light intensity values are to be stored. The electronic device also includes a buffer that temporarily stores light intensity values for at least one previously processed row of pixels, so that when a triggered pixel is identified in a current row, light intensity values for the neighbor pixels in the previously processed row and for the triggered pixel are persistently stored, as well as a data transmitter that transmits the persistently stored light intensity values for the triggered and neighbor pixels to a data receiver.

Abstract: Provided is an imaging device and a defective pixel correction method which can improve the accuracy of a defective pixel correction. In a case where a correction target pixel is a G pixel, a defective pixel correction unit determines whether there is an edge portion around the G pixel; when there is an edge portion, the defective pixel correction unit performs a defect correction by using G pixels adjacent to the G pixel in a X shaped direction; when there is no edge portion, it performs the defect correction using G pixels adjacent to the G pixel in the cross direction.

Abstract: First image data obtained by capturing an image of a subject under a first light condition, and second image data obtained by capturing an image of the subject under a second light condition different from the first light condition are input. The sampling positions of colors used to generate correction parameters are acquired. First color signal values are sampled from the sampling positions in the first image data, and second color signal values are sampled from the sampling positions in the second image data. Correction parameters used to correct the first image data which depends on the first light condition into image data which depends on the second light condition are generated based on the first and second color signal values.

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: A color interpolation system is disclosed. An enhancement unit receives raw signals from an image sensor, and then processes the raw signals to output an enhanced first signal. A first interpolation unit receives and processes a raw first signal and accordingly outputs an interpolated first signal. A gain generator generates an enhancement gain according to the enhanced first signal and the interpolated first signal.

Abstract: The image processing method includes acquiring an input image produced by image capturing through an image capturing optical system tilted with respect to an image pickup plane, acquiring tilt information showing a condition of the tilt of the image capturing optical system in the image capturing, and performing an image process on the input image, by using information on aberration of the image capturing optical system corresponding to the tilt information, to correct image degradation caused by the aberration. The tilt information shows a tilt direction and a tilt angle of the image capturing optical system with respect to the image pickup plane. The method acquires object distances for respective image heights in the image pickup plane by using the tilt direction and the tilt angle and performs the image process corresponding to the object distance for each image height.

Abstract: An image processing device comprising a synchronization unit (25) for generating a luminance (Y?) from the sum of pixel signals R, Gr, Gb, B, for subtracting the R pixel signal and the B pixel signal from the sum of the Gr pixel signal and Gb pixel signal so as to generate a first color difference (C1), and for calculating a difference between the R pixel signal and the B pixel signal to generate a second color difference (C2), a pseudo-color suppression unit (31) for performing pseudo-color suppression of the first color difference (C1) and/or the second color difference (C2), a color space conversion unit (37) for converting the luminance Y?, the first color difference (C1), the second color difference (C2), into a predetermined color space to generate YUV color information.

Abstract: An image processing device includes an input unit which inputs image data that is generated by an imaging element including specific pixels, first image generation pixels that are the image generation pixels adjacent to the specific pixels, and second image generation pixels that are the image generation pixels not adjacent to the specific pixels, and includes a luminance value generated by each of the pixels, and a color mixture correction unit which corrects color mixture such that a change value of luminance caused by light leaked from the specific pixels to the first image generation pixels is calculated based on luminance values of each of specific pixels adjacent to the first image generation pixels and correction of color mixture to the first image generation pixels caused by the leaked light is performed.

Abstract: There is provided a signal processing device including a correction processing unit that acquires a pixel signal output from a sensor on which pixels are disposed in an array in which a spatial frequency of a color pixel which is a pixel acquiring a color component is lower than a spatial frequency of luminance pixels which are pixels acquiring luminance components, and then corrects the pixel signal output from a defective pixel out of the pixels that the sensor includes. During correction of a pixel signal of the color pixel, the correction processing unit performs correction referring to pixel signals of the luminance pixels having a spatial frequency higher than the spatial frequency of the color pixel.

Abstract: Provided is an apparatus and method for reducing noise in an image, the apparatus including a reference image creator unit to create a reference image based on chrominance about a plurality of channels included in an output image obtained from an image sensor of a camera, and a noise reduction unit to perform noise reduction for the respective channels using the created reference image. The plurality of channels may include at least one of a green channel, a red channel, and a blue channel.

Abstract: An image processing apparatus, for correcting a cross talk between adjacent pixels, includes: a memory unit for storing a correction parameter for reducing a cross talk signal leaked to an object pixel from an adjacent pixel, the correction parameter corresponding to a position of the object pixel; and a correcting unit for subtracting, based on the correction parameter stored in the memory unit, the cross talk signal from a pixel signal of the solid-state imaging apparatus correspondingly to a position of the pixel, wherein a number of the object pixel is at least two, and the at least two object pixels have different addresses in a horizontal direction, and different addresses in a vertical direction.

Abstract: A technique is provided for generating sharp, well-exposed, color images from low-light images. A series of under-exposed images is acquired. A mean image is computed and a sum image is generated each based on the series of under-exposed images. Chrominance variables of pixels of the mean image are mapped to chrominance variables of pixels of the sum image. Chrominance values of pixels within the series of under-exposed images are replaced with chrominance values of the sum image. A set of sharp, well-exposed, color images is generated based on the series of under-exposed images with replaced chrominance values.

Abstract: An image processing apparatus which is capable of accurately correcting for chromatic aberration of magnification in an area peripheral to a taken image using the taken image. Areas including edges in image data are extracted, and the amount of chromatic aberration of magnification is calculated as the amount of area chromatic aberration of magnification in each area with respect to each color component. Based on lens design values, chromatic aberration of magnification in each area is calculated as the amount of lens chromatic aberration of magnification. By using the amount of area chromatic aberration of magnification and the amount of lens chromatic aberration of magnification in adjacent areas next to an indefinite area matching predetermined conditions, the amount of lens chromatic aberration of magnification relating to the indefinite area is corrected to determine the amount of area chromatic aberration of magnification relating to the indefinite area.

Abstract: A method and apparatus for providing image processing. For one embodiment of the invention, a digital image is acquired. One or more relatively large candidate red eye defect regions are detected in at least a portion of the image. Face detection is applied to at least a portion of the image to eliminate non-face regions and one or more relatively small candidate red eye defect regions are identified in at least a portion of the image not including the eliminated non-face regions.

Abstract: Systems and methods for correcting geometric distortion are provided. In one example, an electronic device may include an imaging device, which may obtain image data of a first resolution, and geometric distortion and scaling logic. The imaging device may include a sensor and a lens that causes some geometric distortion in the image data. The geometric distortion correction and scaling logic may scale and correct for geometric distortion in the image data by determining first pixel coordinates in uncorrected or partially corrected image data that, when resampled, would produce corrected output image data at second pixel coordinates. The geometric distortion correction and scaling logic may resample pixels around the image data at the first pixel coordinates to obtain the corrected output image data at the second pixel coordinates. The corrected output image data may be of a second resolution.

Abstract: Systems and methods for down-scaling are provided. In one example, a method for processing image data includes determining a plurality of output pixel locations using a position value stored by a position register, using the current position value to select a center input pixel from the image data and selecting an index value, selecting a set of input pixels adjacent to the center input pixel, selecting a set of filtering coefficients from a filter coefficient lookup table using the index value, filtering the set of source input pixels to apply a respective one of the set of filtering coefficients to each of the set of source input pixels to determine an output value for the current output pixel at the current position value, and correcting chromatic aberrations in the set of source input pixels.

Abstract: Systems and methods for correcting green channel non-uniformity (GNU) are provided. In one example, GNU may be corrected using energies between the two green channels (Gb and Gr) during green interpolation processes for red and green pixels. Accordingly, the processes may be efficiently employed through implementation using demosaic logic hardware. In addition, the green values may be corrected based on low-pass-filtered values of the green pixels (Gb and Gr). Additionally, green post-processing may provide some defective pixel correction on interpolated greens by correcting artifacts generated through enhancement algorithms.

Abstract: An image processing apparatus includes an acquisition unit configured to divide an image into a plurality of areas and to acquire an object distance and a defocus amount in each area, and a processing unit configured to obtain, for each area, a correction amount corresponding to the object distance and the defocus amount and to perform correction processing for correcting lateral chromatic aberration based on the correction amount.

Abstract: An image processing apparatus comprises a noise suppression unit configured to perform noise suppression processing to a plurality of color signals obtained by band dividing an image signal by color, a one-plane conversion unit configured to generate a one-plane image having one signal per pixel, from the plurality of color signals to which the noise suppression processing has been done by the noise suppression unit, a processing unit configured to perform image processing in which a frequency characteristic changes, with respect to the one-plane image, a noise extraction unit configured to extract a noise component from the image signal, and an adding unit configured to add the noise component extracted by the noise extraction unit to a signal obtained by the processing unit.

Abstract: A display system includes a display-color function image generator and a DCF image converter. The DCF image generator generates a DCF image from a source image. In the DCF image, each pixel is associated with a respective DCF configured to convert an input value to a display color value. The DCF image generator inputs values to respective DCFs to convert the DCF image to a displayable image having pixels associated with respective display colors.

Abstract: An image processing device includes: a coordinate conversion unit (142) which calculates a corresponding sampling coordinate on a color mosaic image corresponding to a pixel position of a color image when a deformation process is performed, according to the pixel position of the color image; a sampling unit (143); a sampling unit (143) which interpolates-generates a pixel value in a sampling coordinate for each of color planes obtained by decomposing the color mosaic image; and a color generation unit (144) which generates a color image by synthesizing interpolation values of the respective color planes. Each pixel value of a color image subjected to a deformation process is obtained as a pixel value of the sampling coordinate from the color mosaic image by interpolation calculation, thereby realizing the color interpolation process for generating a color image from the color mosaic image and a deformation process of the color image by one interpolation calculation.

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: A stripe noise correction method of a captured image includes: storing a value calculated by rounding off a portion below the decimal point of a stripe noise value into a memory as correction data of an integer part that corrects a stripe noise for each color; and storing the magnitude of a quantization error calculated by rounding off for each color and for each pixel column or each pixel row into the memory as correction data of a fractional part; and correcting captured image signals of the image captured by a image sensor with the correction data of the integer part and the fractional part read from the memory.

Abstract: A system and method provide for an adaptive median filter with edge protection and four line buffers to remove the impulse noise for a Bayer pattern image. The system and method separates the Bayer pattern image data into different channels by color and applies the adaptive median filter to remove the impulse noise on each channel. The adaptive median filter has five threshold values that may be modified to achieve different light condition response based on the detected noise level of the image. Thus, proper threshold values with better brightness response to the input pixels may be applied and impulse noise may be suppressed effectively, while preserving image details.

Abstract: An image processing device comprising a synchronization unit (25) for generating a luminance (Y?) from the sum of pixel signals R, Gr, Gb, B, for subtracting the R pixel signal and the B pixel signal from the sum of the Gr pixel signal and Gb pixel signal so as to generate a first color difference (C1), and for calculating a difference between the R pixel signal and the B pixel signal to generate a second color difference (C2), a pseudo-color suppression unit (31) for performing pseudo-color suppression of the first color difference (C1) and/or the second color difference (C2), a color space conversion unit (37) for converting the luminance Y?, the first color difference (C1), the second color difference (C2), into a predetermined color space to generate YUV color information.

Abstract: An image processing apparatus is configured to reduce a color blur in a color image, and includes a color blur process determination part configured to change at least one of a color blur that serves as a reduction object and an estimation method of an amount of the color blur according to at least one of a characteristic of an image and an imaging condition.

Abstract: Sub-regions within a face image are identified to be enhanced by applying a localized smoothing kernel to luminance data corresponding to the sub-regions of the face image. An enhanced face image is generated including an enhanced version of the face that includes certain original pixels in combination with pixels corresponding to the one or more enhanced sub-regions of the face.

Abstract: An image capture system comprises an image sensor module, a pre-processing unit, and an image processing unit, where the pre-processing unit comprises a de-noise module. The image sensor module is configured for capturing images corresponding to at least one scene and outputting raw image data accordingly. The pre-processing unit is coupled to the image sensor module, where the de-noise module is configured for executing de-noise operation on the raw image data in raw image domain to generate de-noised raw image data. The image processing unit is coupled to the pre-processing unit and configured for converting the de-noised raw image data into RGB image data in RGB domain.

Abstract: In an image transmission error restoring method and an apparatus using the same, a received image frame is divided into a plurality of blocks and each block is divided through a multi-resolution process. After the multi-resolution process, an error-occurred region is searched and the searched error-occurred region is recovered based on information selected from among global pixel information and local pixel information according to complexity of each block.

Abstract: A solid-state imaging device includes a plurality of photoelectric conversion elements configured to perform photoelectric conversion on incident light. The device also includes a color filter array including at least three kinds of color filters different in filtering wavelength region. Any of the color filters is placed for each of the photoelectric conversion elements to filter the incident light. The spectral transmittances of the color filters are equal to each other in a predetermined wavelength region.

Abstract: Methods and systems for detecting and correcting chromatic aberration and purple fringing are disclosed. Chromatic aberration can be addressed by separating an image into color planes and then adjusting these to reduce chromatic aberration by using a specific calibration image (calibration chart) as an empirical method to calibrate the image acquisition device. Purple fringing can be corrected by initially addressing color aberration resulting from the lateral chromatic aberration (LCA). The LCA is first removed and then the correction is extended to purple fringing. A discovery is relied upon that the purple fringing is created in the direction of the chromatic aberration and is more pronounced in the direction of the chromatic aberration.

Abstract: A method and device for detecting a potential defect in an image comprises acquiring a digital image at a time; storing image acquisition data, wherein the image acquisition data includes at least one of a position of a source of light relative to a lens, a distance from the source of light to the lens, a focal length of the lens, a distance from a point on a digital image acquisition device to a subject, an amount of ambient light, or flash intensity; determining dynamic anthropometric data, wherein the dynamic anthropometric data includes one or more dynamically changing human body measurements, of one or more humans represented in the image, captured at the time; and determining a course of corrective action based, at least in part, on the image acquisition data and the dynamic anthropometric data.

Abstract: A method of filtering a red-eye phenomenon from an acquired digital image including a multiplicity of pixels indicative of color, the pixels forming various shapes of the image, includes analyzing meta-data information, determining one or more regions within the digital image suspected as including red eye artifact, and determining, based at least in part on the meta-data analysis, whether the regions are actual red eye artifact. The meta-data information may include information describing conditions under which the image was acquired, captured and/or digitized, acquisition device-specific information, and/film information.

Abstract: Digital camera or device with a digital camera unit is controlled in a process in which light spectrum power distribution is detected by a detector that has a plurality of narrow-band photo-electric sensors at locations spaced apart on an image capture unit of a digital camera unit. Each sensor has a given sensitive bandwidth within the frequency range of visible light. The number of the sensitive bandwidths is N that is greater than 3. A signal indicative of the light spectrum power distribution as detected by the detector is produced.

Abstract: An imaging device and an image crosstalk analysis device are described that may be used to reduce optical crosstalk and radial fall-off in image data. The imaging device may include an image processing unit that applies corrections to the raw image data using newly developed correction algorithms and correction parameters that are generated for the imaging device by the image crosstalk analysis device based on an analysis of uncorrected image data generated by the imaging device. The correction parameters generated for a single imaging device may be loaded to imaging devices of the same make and model as part of the imaging device manufacturing process. Due to the flexible nature of the described processing techniques in which the control parameters are used, improved image quality may be achieved in every image generated by the respective manufactured cameras.

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: There is provided a digital image processor. An exemplary digital image processor comprises a pre-processor arranged to pre-process received digital images having a first resolution into a lower resolution to form pre-processed digital images. The pre-processor may be arranged to output the pre-processed digital images to a display independently from the received digital images being stored for subsequent post-processing. The exemplary digital image processor may also comprise a post-processor arranged to post-process received digital images that have been stored for post-processing.

Abstract: A method for correcting image data, in particular for colour correction and cross-talk reduction of image data obtained by an image sensor comprising image pixels (R, G, B) and non-image pixels (F), the image pixels (R,G,B) being overlaid with a colour filter array (CFA) and having a different spectral sensitivity than the non-image pixels, comprises determining a set of colour components (rold, gold, bold) for the image pixels (R,G,B) based on raw image data (rraw, graw, braw) read only from the image pixels (R,G,B) of the image sensor (10); correcting the set of colour components of non-direct neighbours of the non-image pixels (F) by means of a first colour correction matrix (CCM1); and correcting the set of colour components of direct neighbours of the non-image pixels by means of a second colour correction matrix (CCM2) different from the first colour correction matrix. An image sensor (10) and an auto-focus camera using same are also disclosed.

Abstract: An imaging apparatus includes: a shift lens driven to be shifted; a uniform aberration correction data storing unit storing uniform aberration correction data for correcting uniform aberration; a shift amount calculating unit calculating an amount of aberration correction shift of the shift lens for correcting uniform aberration using the uniform aberration correction data; a shift lens driving unit driving the shift lens to be shifted according to an amount of driving shift based on the amount of aberration correction shift; a concentric aberration correction amount calculating unit calculating an amount of concentric aberration correction for correcting concentric aberration with respect to a process target pixel of an input image signal; and a pixel value correcting unit correcting a pixel value of the process target pixel on the basis of the calculated amount of concentric aberration correction.

Abstract: In order to effectively and efficiently perform noise reduction by smoothing, an image processing apparatus of the present invention includes an image inputting part inputting an image in which a first pixels and a second pixels indicating mutually different color components are included and at least the second pixels are arranged at discrete positions, a color estimating part estimating first color component data at the second pixels based on first color component data of the first pixels, a calculating part calculating color-difference data at the second pixels based on the first color component data at the second pixels and second color component data of the second pixels, a smoothing part performing smoothing processing on a discrete color-difference image formed of the color-difference data being calculated at the second pixels, and a color-difference estimating part estimating color-difference data at pixels other than the second pixels on the input image.