202 results about "Color interpolation" patented technology

An image pickup apparatus includes an image-pickup lens having an aperture diaphragm, an image-pickup element that has a color filter which is periodically allocated colors in units of a predetermined unit array and that generates picked-up image data including pixel data of colors using received light, the color filter being adjacent to a light receiving surface, a microlens array unit that is arranged on an image forming surface of the image-pickup lens and whose microlenses are each allocated a plurality of pixels of the image-pickup element, and an image processing unit that performs image processing on the picked-up image data generated by the image-pickup element. The image processing unit includes a parallax component image generation unit that generates a plurality of parallax component images and an interpolation processing unit that performs color interpolation processing for each of the parallax component images.

An imaging method and system that flexibly accesses light sensor elements and processes imaging signals. The imaging system comprises an array of pixel sensor cells, an array controller and a readout control circuit. The imaging system provides color interpolation.

A color interpolation method and apparatus for interpolating missing color signals for each pixel of an image sensor. The color interpolation method includes forming a difference image channel by subtracting an R or B color value from a G color value in pixels adjacent to a pixel to be interpolated, detecting the direction of an edge to which the pixel to be interpolated belongs and selecting adjacent pixels to be used for color interpolation. By calculating a weight value indicating the direction of the edge and providing the weight value to the adjacent pixels to be used for color interpolation, and using the difference image values of the adjacent pixels and the weight values, a color component missing in the pixel to be interpolated can be calculated.

The present invention is directed to a solid state imaging device comprising a red pixel, a blue pixel, a first green pixel, a second green pixel, two analog-to-digital converters and a color interpolation circuit. The first analog-to-digital converter converts the output of the red pixel and output of the blue pixel into digital signals. The second analog-to-digital converter converts the output of the first green pixel and output of the second green pixel into digital signals. The color interpolation circuit combines the digital signals to determine the color of the pixel.The solid state imaging device may further comprise a third analog-to-digital converter, a fourth analog-to-digital converter, a programmable clock generator and a control. The third analog-to-digital converter converts the output of the blue pixel into a digital signal and the fourth analog-to-digital converter converts the output of the second green pixel into a digital signal. The programmable clock generator has a first clock frequency and a second clock frequency, where the first clock frequency is slower than the second clock frequency. The control is coupled to the programmable clock generator, the third analog-to-digital converter and the fourth analog-to-digital converter. The control deactivates the third and fourth analog-to-digital converters if the programmable clock generator is at the first clock frequency, and the control activates the third and fourth analog-to-digital converters if the programmable clock generator is at the second clock frequency.

An image sensing apparatus comprising: a CCD, optical system for forming an image on the CCD; A / D converter for converting an image signal outputted by the CCD to a digital signal; color interpolator for performing color interpolation on the digital signal converted by the A / D converter and generating image data on R, G and B color planes; color space converter for converting RGB color space to YUV colorimetric system; and median filter for reducing pseudo color components, generated by the color interpolator, by controlling color difference signals U and V. By cutting high frequency components of the signal, filtered by the median filter, then thinning out YUV signals and performing JPEG compression, pseudo color components generated by color interpolation can be reduced.

This invention reduces degradation in quality of a resized image in obtaining the resized image. An image capturing apparatus includes an image sensor which converts an optical image into an electrical signal, an A / D conversion unit which converts an image signal output from the image sensor into digital image data, a color interpolation unit which executes color interpolation of the digital image data, a separation unit which separates the digital image data that has undergone color interpolation by the color interpolation unit into a luminance component and color difference components, an image size conversion unit which converts the image size of the luminance component and color difference components, and a lossless compression unit which losslessly compresses the luminance component and color difference components generated by the image size conversion unit.

A color interpolation method for processing a plurality of image pixels corresponding to a color filter array to reconstruct missing color components for each image pixel having a single color component. The color interpolation method includes: (a) detecting edges in a plurality of interpolating directions for a target image pixel and then generating a plurality of edge indicators respectively corresponding to the interpolating directions, wherein the edge indicators have been normalized by stochastic adjustment factors; and (b) reconstructing at least a missing color component of the target image pixel according to a plurality of neighboring image pixels respectively in the interpolating directions and the edge indicators of the interpolating directions, wherein each of the neighboring image pixels has a color component identical to the missing color component.

A fast method of color interpolation of pixels of an image acquired by a color filtered digital sensor uses a very simple cost function that nevertheless produce interpolated images of good quality. The cost function is computationally simpler because it does not require the calculation of powers and square roots. The triangulation algorithm may be executed in far less time, while practically ensuring the same performance. The triangulation algorithm on average may use only two iteration steps. The interpolation process may be followed by an anti-aliasing processing that effectively removes color artifacts.

Computer-implemented methods and computer program apparatus, for implementing techniques for shading selected regions of an image. These include receiving an input selecting a region to be filled, receiving an input defining a gradient specifying a color transition to be applied between a starting position and an ending position, and applying the gradient between the starting position and the ending position to assign, based on the shape of the selected region, a color for each of a plurality of points located inside an outline defining the region's shape. In preferred embodiments, the gradient is applied by identifying, for each point in the selected region, a color interpolation vector extending from the starting position through the point to the ending position and intersecting the outline at one or more intersection points, and assigning a color for the point based on its position along the color interpolation vector.

The invention is suitable for the technical field of digital photographing, and provides a color image generating method and device. The color image generating method includes the steps of controlling a camera lens to conduct exposure multiple times when shooting request information is received to obtain monochrome values of pixel points in exposed color images each time; combining the monochrome values of the pixel points obtained after exposure each time to obtain RGB color values of the pixel points, and generating the color images through the RGB color values of the pixel points. The false color problem caused when the color images are output in the traditional Bayer array color interpolation mode is accordingly solved, and the resolution ratio of the obtained color images is improved.

A method and system for digital cameras provides improved automatic exposure control, improved automatic white balance, improved color interpolation, improved automatic gamma correction, and improved progressive edge enhancement. These improvements are preferably implemented in CMOS semiconductor technology for faster speed.

A color interpolation method for processing a plurality of image pixels corresponding to a color filter array to reconstruct missing color components for each image pixel having a single color component. The color interpolation method includes: (a) detecting edges in a plurality of interpolating directions for a target image pixel and then generating a plurality of edge indicators respectively corresponding to the interpolating directions, wherein the edge indicators have been normalized by stochastic adjustment factors; and (b) reconstructing at least a missing color component of the target image pixel according to a plurality of neighboring image pixels respectively in the interpolating directions and the edge indicators of the interpolating directions, wherein each of the neighboring image pixels has a color component identical to the missing color component.

An image processing apparatus which performs recovery processing of correcting a degradation in image due to an aberration in an optical imaging system, with respect to image data of a plurality of colors, comprising: a separation unit configured to separate image data into image data of the respective colors, and further separate image data of a color whose spatial frequency characteristic is higher than that of another color due to an arrangement of color filters of the plurality of colors into a plurality of image data of same color so as to have the same spatial frequency characteristic as that of the other color; a plurality of image processing units configured to perform recovery processing by filter processing for each of the separated image data; and an interpolation processing unit configured to perform color interpolation processing of each pixel for the image data having undergone the recovery processing.

CCD-RAW data obtained by sensing the image of a subject is applied to a first noise reduction circuit via a offset correction circuit, a gain correction circuit, a linear matrix circuit and a gamma correction circuit. Uncorrelated noise is removed from the CCD-RAW data in the first noise reduction circuit. The CCD-RAW data is subjected to synchronization (color interpolation) in the synchronization processing circuit, and luminance data Y and color difference data C is generated by an RGB-YC conversion circuit. The generated luminance data Y and generated color difference data C is subjected to noise reduction processing on a per-frequency-component basis in the second noise reduction circuit. Suitable noise reduction processing conforming to the state of image data before and after synchronization processing is executed.

A color image processing pipeline performs an interpolation on color data to generate triplets located at distinct pixel locations. The pipeline includes defect correction and image enhancement blocks having a first color interpolation block for generating RGB information for each pixel of an input image pixel pattern, and a second color interpolation block for receiving the RGB information to provide enhanced RGB pattern pixels. Dedicated line memories and delay circuits associated with the defect correction and image enhancement blocks permit real-time processing of pixel data. First and second read / write buffers store a subset or pixel block of the image data, and invert a scanning mode of pixel data being fed to the dedicated line memories and delay circuits associated to at least the first color interpolation block, from row-wise to column-wise, for each subset of data to be stored therein.

The image capture device includes pixel data acquisition unit for acquiring pixel data of a pixel of interest and neighboring pixels from an image capture element; an edge direction determination unit for determining whether a pattern such as an edge is defined by neighboring pixels centered on the pixel of interest; correction unit; and color interpolation unit. When a pixel of interest is determined by a defective pixel determination unit to be a defective pixel, and is moreover determined by the edge direction determination unit not to lie in an edge direction, the correction unit will correct the pixel of interest to a correction value derived from pixel data of neighboring pixels in a symmetrical array centered thereon. For a pixel of interest that has not been corrected, color interpolation according to the direction the edge will be carried out by the color interpolation unit, using the determination outcome of the edge direction determination unit.

Embodiments of the present invention relate in general to systems and methods for dynamically correcting color cross-talk and related color distortion in an image sensor. More specifically, but not by way of limitation, certain embodiments of the present invention relate to correcting pixel outputs from a pixel array in an image sensor at the Bayer domain for color cross-talk and / or green disparity using hyperbolically varying correction functions to dynamically derive color cross-talk correction factors using pixel location on the pixel array, a selected pixel output and related outputs from neighboring pixels on the image sensor prior to or synchronous with color interpolation.

The invention relates to a green component and color difference space-based Bayer format color interpolation method. Two main errors which are jaggies and pseudo colors respectively exist in the conventional color interpolation methods. In the method, in a full-color image recovery process, color recovery is realized by adopting a combined way of interpolating green components, red components and blue components in steps; and the method comprises the reconstruction of the full-resolution green components G, the calculation of pixel point color differences R-G or B-G comprising the red or blue components, the reconstruction of full-resolution color difference images R-G and B-G, and the recovery of the red components R and the blue components B by the addition of the reconstructed full-resolution green components and the reconstructed color difference images. The method of the invention has the advantages of effectively solving the problem that the images have blurry edges and unsharp detail textures, reducing the color distortion of the images, preventing color mutation and improving color smoothness.

This invention is directed to imaging methods and systems for flexibly addressing and processing imaging pixel sensor elements. A novel architecture is described which allows for a highly integrated, low cost imager with high speed performance and good image quality. The imaging system provides on-the-fly color interpolation, color compensation (also called color correction, color maximization or white balance) and / or fixed pattern noise reduction. The hardware and / or software related to on-the-fly color interpolation, color compensation and / or fixed pattern noise reduction may be provided on-chip.

The digital camera (100) has an image processor that corrects an input image for a spatial frequency band. The edge enhancement block (106) computes an edge component for band correction. A signal interpolated at color interpolation block (107) to make compensation for a color component missing from each pixel of a single-chip image is then converted at YC transform block (108) into a luminance signal and a color difference signal after tone correction, the luminance and color signals sent out to YC synthesis block (110) and color saturation correction block (109), respectively. Then, the color saturation correction block (109) controls the color saturation of the color difference signal to send it out to YC synthesis block (110). At the same time, the edge component computed at edge enhancement block (106) is sent out to YC synthesis block (110), too.

A method and apparatus for color plane interpolation are provided which interpolates the color values of pixels differently depending on an edge direction and whether a pixel is at an edge within an image. The use of the edge detection during the interpolation of each of the colors present in the color pattern helps reduce some of the disadvantages of the loss of image sharpness abundant in known demosaicing techniques.

The invention discloses an improved bilinear Bayer format color interpolation method. The conventional method is large in calculation amount for chromatic aberration, high in complexity and long in delay, and the imaging speed of a digital camera is remarkably influenced. In a full-color image reconstruction process, color recovery is realized in a combination way of stepwise interpolating a green component and red and blue components. The method comprises the following steps of: strictly distinguishing an image edge by utilizing the spatial correlation of an image, and reconstructing the green component under full resolution; and reconstructing the red and blue components under the full resolution by using an improved bilinear interpolation algorithm and the correction and compensation of a recovered green component. Compared with the conventional interpolation algorithm, the method has the advantages that the peak signal to noise ratio of a recovered full-color image color signal is high, and an ideal interpolated image effect can be achieved under the condition of no increase of computational complexity of the algorithm.

A color interpolation process unit (51) successively acquires from an AFE (12), a plurality of original images in which the pixel positions having pixel signals are different and executes a color interpolation process on the original images to generate a color-interpolated image. An image synthesis unit (54) combines the color-interpolated image (current frame) to be generated and a synthesis image (previous frame) outputted previously so as to generate a synthesis image. The synthesis image is inputted to a color synchronization process unit (55) to output a video signal and stored in a frame memory (52) so as to be used for synthesis of the next frame.

An image processing system and demosaicing method are provided to calculate estimated missing color sensor values in an image using a linear prediction from the raw color sensor value at the current pixel location. The raw image is divided into regions of sensor values, and the linear relations between color planes for each region are determined by a regression method that calculates the degree to which different color planes co-vary within each region The missing color sensor values per region are calculated as a scaled and shifted version of the raw color sensor values using linear regression coefficients determined from the local linear regression process.

An image sensor device formed in an integrated circuit (IC) having a filter device in which filter elements are arranged to provide color symmetry with respect to an optical center of the imaging array of pixels. This color symmetry ensures that any color cross-talk that occurs will be symmetrical with respect to the optical center of the imaging array and will result in a color error that is radial and easily correctable using color interpolation.

To provide a signal processing apparatus and an image pickup signal processing method both of which restrain a color signal from being influenced by band limitation in a color processing system, thereby enabling signal processing which produces an undegraded image, the processing of color-suppressing RGB signals or complementary color signals is performed between a color interpolation circuit and a color-difference matrix circuit. Otherwise, the processing of suppressing a color signal is performed in front of the color interpolation circuit.

The invention provides an image processing device, method, program and an imaging device. The 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.

An image processing system and demosaicing method are provided to calculate estimated missing color sensor values in an image using a linear prediction from the raw color sensor value at the current pixel location. The raw image is divided into regions of sensor values, and the linear relations between color planes for each region are determined by a regression method that calculates the degree to which different color planes co-vary within each region The missing color sensor values per region are calculated as a scaled and shifted version of the raw color sensor values using linear regression coefficients determined from the local linear regression process.