Abstract: According to one embodiment, a knee correction device includes a generator, a detector, a mixer, and a calculator. The generator generates a luminance signal from R, G, and B color signals. The detector detects a color signal having a maximum value among the R, G, and B color signals. The mixer mixes the luminance signal generated by the generator and the color signal detected by the detector, at a predetermined mixing ratio. The supply module supplies a coefficient for performing level compression on each of the R, G, and B color signals, based on an output of the mixer. The calculator performs level compression on the R, G, and B color signals by subjecting the coefficient supplied by the supply module and the R, G, and B color signals to a calculation.

Abstract: An integrated circuit comprises a semiconductor substrate and a color image sensor array on the substrate. The color image sensor array has a first configuration of color pixels for collecting color image data, and at least one crosstalk test pattern on the substrate proximate the color image sensor array. The crosstalk test pattern includes a plurality of color sensing pixels arranged for making color crosstalk measurements. The test pattern configuration is different from the first configuration.

Abstract: Method of noise reduction in an image includes capturing the image including a plurality of pixels each corresponding to a color via an image sensor, selecting a target pixel of the plurality of pixels, generating a noise threshold value associated to the target pixel according to a noise variation function related to noise distribution range of the image sensor, calculating a difference value between the target pixel and a neighbor pixel having the same color with the target pixel, comparing the difference value and the noise threshold value to determine whether the neighbor pixel is a noise to the target pixel, and when determining the neighbor pixel is a noise to the target pixel, performing a smooth operation to lower the noise of the target pixel.

Abstract: Digital images are computed using an approach for correcting lens aberration. According to an example embodiment of the present invention, a digital imaging arrangement implements microlenses to direct light to photosensors that detect the light and generate data corresponding to the detected light. The generated data is used to compute an output image, where each output image pixel value corresponds to a selective weighting and summation of a subset of the detected photosensor values. The weighting is a function of characteristics of the imaging arrangement. In some applications, the weighting reduces the contribution of data from photosensors that contribute higher amounts of optical aberration to the corresponding output image pixel.

Abstract: The present disclosure relates to a method and an apparatus for image processing. The method includes: setting a block including at least one pixel and a window including the at least one block, with a center pixel as a reference; converting an input image in a YCbCr format to a monochrome image; determining a magnitude of an edge component and an edge direction in the window; determining a weight of the block in consideration of the magnitude of the edge component and the edge direction; and determining a color signal value of the center pixel by reflecting the weight of the block in the monochrome-converted window.

Abstract: An image capturing element of an image capturing section 2 has a color filter with a Bayer matrix, and interpolation unit 6 implements an interpolation process to an image signal for each pixel received from the image capturing element by using image signals of adjacent pixels to obtain an image signal of R, G and B for the respective pixels. High-frequency component extracting unit 7 extracts a high frequency component from the G signal; false-color reduced color signal generation unit 8 obtains, for the respective pixels, a false-color reduced color signal (R+B?2G) in which an effect of a false color is reduced; and, chroma signal generation unit 9 generates a chroma signal, which is an absolute value of the false-color reduced color signal. Suppression unit 10 suppresses the false color on the basis of the high frequency component extracted by the high-frequency component extracting unit 7 and the chroma signal for the respective pixels generated by the chroma signal generation unit 9.

Abstract: An image noise correction method is provided. For at least one target pixel having a determined pixel value, for each pixel in a window of pixels surrounding the target pixel, a weighting factor for the pixel is estimated based on the value of the target pixel and at least one pixel value in the window. An average of pixel values for the pixels in the window is calculated, with each pixel value being weighted by the weighting factor corresponding to the pixel. A new value is assigned to the target pixel based on the average of pixel values that is calculated. Also provided is an image noise correction device.

Abstract: A solid-state imaging device includes: a pixel section formed by pixels having a photoelectric conversion function arranged in a matrix; a pixel driving section driving the operation of the pixels to allow a readout to be performed according to a readout mode; a readout circuit reading out signals from the pixels and outputting the signals as image data in a raw data format; and a logic section performing scaling and phase correction in preparation for a resolution conversion process on a signal output from the readout circuit.

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 pixel value. Noise reduction methods filter a captured pixel value for a respective pixel based on the captured 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 aberration correction apparatus includes: a correction data holding section that holds correction data on a correction level used to correct chromatic aberration of magnification; a center position discrepancy data holding section that holds center position discrepancy data on the discrepancy between the center of an image area and the position of an aberration center of the chromatic aberration of magnification; an aberration center calculating section that selects one of the center position discrepancy data that corresponds to a combination of the discrepancy variation conditions in an imaging apparatus and calculates the position of the aberration center based on the selected center position discrepancy data; an image height calculating section; a magnification chromatic aberration correction level calculating section; and a pixel value correcting section.

Abstract: There is provided an image processing apparatus including an image signal correction unit for performing a blur correction process on an image. The image signal correction unit includes a blur correction processing section configured to perform a blend process for a default filter and a coordinate position-corresponding high pass filter, which is generated according to an image height of a pixel to be subjected to blur correction, using a blend coefficient determined according to the image height of the pixel to be subjected to blur correction, and to perform a blur correction process using a filter generated through the blend process.

Abstract: An apparatus reduces color fringing in a color image, so that a post-processed color image is positioned in a restricted area in a chromaticity diagram. Where a first line passes a first point corresponding to a target pixel of the pre-processed color image and an origin, the restricted area is located on a side of the origin with respect to a line that is perpendicular to the first line and passes the first point, and held between two parallel lines separated from the first line by an equal distance that is equal to or smaller than half a distance between the origin and the first point. The restricted area is held by two lines each of which passes the origin and represents a boundary between one of the two color components and an area representing a color component made by mixing the one color component and another color component.

Abstract: An image processing apparatus and image processing method, which enable suppression of coloring that occurs in image recovery processing for a RAW image are disclosed. Pixel interpolation processing is executed for a predetermined reference color component of the RAW image. For each color component other than the reference color component, a first color difference is obtained using a pixel value of the color component and a corresponding pixel value of the reference color component after the pixel interpolation processing. After applying the image recovery processing to each color component, a second color difference is obtained in a similar manner to the first color difference, and a pixel value is corrected according to the difference between the first and second color differences determined before and after the image recovery processing.

Abstract: A digital image acquisition system having no photographic film, such as a digital camera, has a flash unit for providing illumination during image capture and a red-eye filter for detecting a region within a captured image indicative of a red-eye phenomenon, the detection being based upon a comparison of the captured image and a reference image of nominally the same scene taken without flash. In the embodiment the reference image is a preview image of lower pixel resolution than the captured image, the filter matching the pixel resolutions of the captured and reference images by up-sampling the preview image and/or sub-sampling the captured image. The filter also aligns at least portions of the captured image and reference image prior to comparison to allow for, e.g. movement in the subject.

Abstract: Two kinds of color images, obtained by a solid-state imaging device, having different color tones are combined with each other. A first captured color image due to a first pixel group (pixels in which spectral sensitivities of color filters are wide) of the solid-state imaging device is processed. A second captured color image due to a second pixel group (pixels in which spectral sensitivities of color filters are narrow) is processed. The level difference between captured image signals of the pixels of the first pixel group and captured image signals of the pixels of the second pixel group, and due to the spectral sensitivity difference between the color filters in which the spectral sensitivities are wide and narrow is obtained (steps S1 and S2). The level difference is corrected. The first captured color image and the second captured color image are combined with each other.

Abstract: A pixel sensor array includes a plurality of pixel sensors having a first gain and a plurality of pixel sensors having a second gain less than the first gain.

Abstract: An image processing apparatus includes: an aberration amount generation unit that calculates an aberration amount of a different color component signal with reference to a position of a color component signal of a criterion color having pixels larger in number than a different color included in image data, based on a luminance value of a pixel signal included in the image data; and a correction unit that generates a color difference signal from the different color component signal and the color component signal of the criterion color and corrects chromatic aberration of the color component signal of the different color present between pixels of the criterion color using the color difference signal based on the aberration amount.

Abstract: An integrated circuit comprises a semiconductor substrate and a color image sensor array on the substrate. The color image sensor array has a first configuration of color pixels for collecting color image data, and at least one crosstalk test pattern on the substrate proximate the color image sensor array. The crosstalk test pattern includes a plurality of color sensing pixels arranged for making color crosstalk measurements. The test pattern configuration is different from the first configuration.

Abstract: A 9 pixel-by-9 pixel working window slides over an input Bayer image. For each such window, a demosaicing operation is performed. For each such window, corrective processing is performed relative to that window to produce relative differences for that window. For each such window for which relative differences have been produced, those relative differences are regulated. For each window, a maximum is found for that window's regulated relative differences; in one embodiment of the invention, this maximum is used to select which channel is sharp. For each window, the colors in that window are corrected based on the relative difference-based maximum found for that window. For each window, edge oversharpening is softened in order to avoid artifacts in the output image. The result is an output image in which axial chromatic aberrations have been corrected.

Abstract: There is a problem in that when magnification chromatic aberration correction is carried out, the difference in reproducibility of high-frequency components, depending on the spatial position, between a color for which position shift correction is not performed and a color for which position shift correction is performed may influence the image quality of an output image. In order to perform magnification chromatic aberration correction, high-frequency components, which are lost due to the position shift correction of a color for which position shift correction is carried out, are extracted from a color for which position shift correction is not carried out, and are added to the color for which position shift correction is carried out. Therefore, the high-frequency components are restored in a pseudo manner.

Abstract: A method for beautifying a human face in a digital image is adapted to beautify a face area of an input image. The method includes setting a selection window to select a partial image area in the input image; setting a target pixel in the selection window, and setting other pixels as comparison pixels; performing a detail checking process according to a variance between the target pixel; performing a luminance checking process on the target pixel to determine; performing a nonlinear filtering process to filter the target pixel by using a nonlinear filter to generate a filtered value, and providing a mixing ratio to mix the target pixel with the filtered value at the mixing ratio to generate a completed pixel; replacing the original target pixel with the completed pixel; and repeating the above steps until all pixels are completed.

Abstract: A method is for processing a Bayer domain signal of an image sensor to model an integrated noise in the image sensor. The method includes receiving the Bayer domain signal of the image signal, setting a plurality of noise models using the Bayer domain signal, and determining an integrated noise level in the image sensor based on the plurality of noise models. The noise models include a dark-current noise model, a shot noise model and a fixed-pattern noise model.

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 apparatus for processing an image in a digital camera Includes an image signal collection unit configured to process an image collected from a lens into image information using a CMOS image sensor (CIS), and an image correction unit configured to compensate for an intensity in response to a compensation curve corresponding to the image information collected by the image signal collection unit and output an image signal compensated depending on the intensity.

Abstract: A method and apparatus to remove color noise included in raw data while effectively preventing image quality degradation. For interest pixels serially set onto a mosaic image formed of raw data, conversion is executed into a pixel value for noise removal based on a processing reference pixel value having a unified color signal component in each interest pixel, noise is removed from the pixel value for noise removal, and the pixel value for noise removal with noise removed is converted into the source pixel value, whereby only color noise can be removed without affecting a luminance signal.

Abstract: A solid-state imaging device including a plurality of pixel units configured and disposed in an imaging area in such a way that a plurality of pixels corresponding to different colors are treated as one unit, the amount of shift of a position of each of the pixels in the pixel unit being set as to differ depending on distance from a center of the imaging area to the pixel unit and a color.

Abstract: A system, apparatus, computer readable medium, and method for noise reduction in image capturing devices involving an edge-preserving blur window is disclosed. In one embodiment, the edge-preserving blur includes only those pixels in the blur window that are visually close to the blur window's current center pixel in its blurring calculation. Limiting the pixels considered in the blur to those that are visually close to the center pixel ensures that the image's colors are not blurred along color edges within the image. Light-product information taken from the image's metadata, for example, the camera sensor's gain level, may be used to adjust the blur filter parameters dynamically. This allows the method to perform the appropriate amount of processing depending on the lighting situation of the image that is currently being processed.

Abstract: An image processing apparatus such as a digital camera and a method of controlling the same is provided. In one embodiment, the digital camera generates an HDR image by combining two of a plurality of images to be combined for normal HDR processing. Before image combining operation, the digital camera converts the tone characteristics of at least one of the two images so as to assign more tone values to a tone area of an entire tone area of the HDR image which is not properly covered by either of the two images than before conversion.

Abstract: An exemplary image generator includes: an image quality improvement processing section configured to receive signals representing first, second, and third moving pictures, obtained by shooting the same subject, and configured to generate a new moving picture representing that subject; and an output terminal that outputs a signal representing the new moving picture. The second moving picture has a different color component from the first moving picture and each frame of the second moving picture has been obtained by performing an exposure process for a longer time than one frame period of the first moving picture. The third moving picture has the same color component as the second moving picture and each frame of the third moving picture has been obtained by performing an exposure process for a shorter time than one frame period of the second moving picture.

Abstract: According to one embodiment, an image processing apparatus includes a color-difference signal correction unit. The color-difference signal correction unit includes a smoothing unit and a color edge extracting unit. The smoothing unit performs smoothing process on a color-difference signal to obtain a smoothed color-difference signal. The color edge extracting unit extracts a color edge component to be added to the smoothed color-difference signal. An edge coring unit which is included in the color edge extracting unit performs a coring process on a difference between the color-difference signal before the smoothing process is performed and the smoothed color-difference signal.

Abstract: Compensation is performed for an image capture device which includes an image sensor which has a tunable spectral response and which is tunable in accordance with a capture mask. The compensation is for spatial non-uniformity in color sensitivity of the image sensor. A default capture mask is applied to the image sensor, and a sample image is captured using the image sensor tuned by the default capture mask. Color of the sample image is analyzed to identify spatial non-uniformity in color sensitivity of the image sensor. A compensation capture mask is constructed. The compensation capture mask is constructed using calculations based on the identified spatial non-uniformity so as to compensate for spatial non-uniformity in color sensitivity of the image sensor. The compensation capture mask is stored in a memory of the image capture device for application of the compensation capture mask to the image sensor.

Abstract: Compensation is performed for an image capture device which includes an image sensor which has a tunable spectral response and which is tunable in accordance with a capture mask. The compensation is for spatial non-uniformity in color sensitivity of the image sensor. A default capture mask is applied to the image sensor, and a sample image is captured using the image sensor tuned by the default capture mask. Color of the sample image is analyzed to identify spatial non-uniformity in color sensitivity of the image sensor. A compensation capture mask is constructed. The compensation capture mask is constructed using calculations based on the identified spatial non-uniformity so as to compensate for spatial non-uniformity in color sensitivity of the image sensor. The compensation capture mask is stored in a memory of the image capture device for application of the compensation capture mask to the image sensor.

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: A compensation method for alleviating color shading in a digital image is adapted to correct a color shading phenomenon in a digital image that causes luminance differences between regions in the digital image.

Abstract: A line-by-line filter process is performed to extract luminance data and color carrier data from an original image (i.e., a CCDRAW image) obtained from a single-sensor color imaging element, without separating the original image into R, G, and B data corresponding to a Bayer array. A color difference data demodulation process and a median noise removal process are performed with respect to the color carrier data to obtain color difference data. Band limitation filter processes having different characteristics are performed with respect to the luminance data and the color difference data, respectively. Moreover, separate resizing processes are performed with respect to the luminance data and the color difference data, respectively. A modulation process is performed to convert the resized color difference data to color carrier data. A color array reproduction process is performed to recombine the color carrier data and the resized luminance signal.

Abstract: An image signal processing apparatus (1) includes: a frame memory (12) that stores image data of a complementary-color-field color-difference sequential system; an address generation unit (24) that generates the address of a correction coordinate point based on previously-provided distortion information; a color-data generation unit (28) that generates the color data of the correction coordinate point by interpolating other color data of pixels in the same color line above and below the correction coordinate point; a color-data-related luminance-data generation unit (34) that generates the first luminance data of the correction coordinate point by interpolating the luminance data of the pixels in the same color line above and below the correction coordinate point; a luminance-based-data generation unit (36) that generates the second luminance data of the correction coordinate point by interpolating the luminance data of the pixels above and below the correction coordinate point; and a complementary-color-data

Abstract: The invention concerns a method for activating a function by using a measurement taken from at least one digital image (10) having at least two colors (195, 196) and originating from an image-capturing apparatus, the method including measuring the relative sharpness (190) between at least two colors in at least one region R of the image, and Controlling at least one action (191) depending on the measured relative sharpness.

Abstract: The present invention relates to a method for reducing noise in image data, comprising the steps of performing (S4, S7, S10) a spatial noise reduction on the image data and applying (S12) a gamma correction on the spatial noise reduced image data. The present invention further relates to a system for noise reduction in image data.

Abstract: Disclosed is a method for sharpening a digital image captured by a digital imaging device, the method comprising, for each pixel Xm,n of the digital image: a) at an edge detector determining an edge parameter E, the edge parameter E providing an indication of whether the pixel Xm,n is at an edge of the digital image; b) at a noose detector determining a noise parameter ?, the noise parameter ? providing an indication of whether the pixel Xm,n is a noise in the digital image; c) at a scaling module determining a scaling factor ?m,n based on a combination of the edge parameter E and the noise parameter ?; and d) at an image sharpening module applying the scaling factor ?m,n on a pixel by pixel basis to sharpen the digital image to get a sharpened pixel Ym,n.

Abstract: An image processing method for executing edge enhancement for an original image includes: extracting edge components based upon the original image; correcting the extracted edge components by attenuating the individual edge components so that a frequency distribution related to intensity of the edge components approximates a Gaussian distribution assuming a specific width; and executing edge enhancement for the original image based upon the corrected edge components.

Abstract: An image processing device includes a white balancing unit configured to perform white balancing on an image signal within a pull-in frame defined by the color temperature of a light source to output the resultant signal, and a control unit configured to, when the white balancing unit performs white balancing on an image signal obtained by capturing an image of a subject illuminated by light emitted from a light emitting device, adjust a region of the pull-in frame on the basis of color information of a light emission signal output from the light emitting device.

Abstract: A digital image acquisition device is for acquiring digital images including one or more preview images. A face detector analyzes the one or more preview images to ascertain information relating to candidate face regions therein. A speed-optimized filter produces a first set of candidate red-eye regions based on the candidate face region information provided by the face detector.

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: A method and apparatus for processing imager pixel signals to reduce noise. The processing includes receiving a target pixel signal, receiving at least one neighboring pixel signal, formulating a dynamic noise signal based at least in part on a value of the target pixel signal, and controlling a noise reduction operation using the dynamic noise signal.

Abstract: Systems and methods are disclosed for applying spatial filtering to raw image data. In one embodiment, a spatial filter may identify an n×n block of pixels from the current image frame, the n×n block including a plurality of neighboring pixels being centered about a current input pixel and being of the same color component as the current input pixel. The spatial filter may include a plurality of filter taps, with one filter tap corresponding to each of the pixels within the n×n block. A set of filtering coefficients for each filter tap, which may be based on a Gaussian function, may be determined. A pixel difference value between the current input pixel and each of the plurality of neighboring pixels in the n×n block are determined, and the pixel differences may be used to determine an attenuation factor for each filter tap.

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: An aberration correction apparatus includes: a correction data holding section that holds correction data on a correction level used to correct chromatic aberration of magnification; a center position discrepancy data holding section that holds center position discrepancy data on the discrepancy between the center of an image area and the position of an aberration center of the chromatic aberration of magnification; an aberration center calculating section that selects one of the center position discrepancy data that corresponds to a combination of the discrepancy variation conditions in an imaging apparatus and calculates the position of the aberration center based on the selected center position discrepancy data; an image height calculating section; a magnification chromatic aberration correction level calculating section; and a pixel value correcting section.

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: 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: In the imaging apparatus, an image signal derived from an imaging element is supplied to color signal producing means so as to be separated into a R(red) color signal, a G(green) color signal and a B(blue) color signal. These R, G, B signals are supplied to color-depending frequency component changing means. While predetermined information has been stored in a memory with respect to each of the R signal, the G signal and the B signal, and the predetermined information is used in order to change a signal level of a high frequency component every R, G, B signals, the color-depending frequency component changing means extracts a high frequency component from each of the R signal, the G signal and the B signal, and then, corrects frequency components of these extracted high frequency components in such a manner that the corrected frequency characteristics may constitute relevant signals.