Abstract: A method and processing device for image demosaicing is provided. The processing device comprises memory and a processor. The processor is configured to, for a pixel of a Bayer image which filters an acquired image using three color components, determine directional color difference weightings in a horizontal direction and a vertical direction, determine a color difference between the first color component and the second color component and a color difference between the second color component and the third color component based on the directional color difference weightings, interpolate a color value of the pixel from the one color component and the color differences and provide a color image for display.

Abstract: Devices, methods, and systems for detecting false color in an image. An edge preserving filter is applied to an image sensor output to generate a first demosaiced image. A low pass filter is applied to the image sensor output to generate a second demosaiced image. A hue difference between the first demosaiced image and the second demosaiced image is calculated. A false color region is detected responsive to the hue difference exceeding a threshold hue difference.

Abstract: A method and apparatus of performing processing in an image capturing device includes receiving an image by the image capturing device. The image is filtered to generate a first visible light component and a second infrared component. A decontamination is performed on the infrared component to generate a decontaminated infrared component, and an interpolation is performed on the visible component to generate an interpolated visible component, both of which are provided to an image signal processor (ISP) for further processing.

Abstract: A method and apparatus of performing processing in an image capturing device includes receiving an image by the image capturing device. The image is filtered to generate a first visible light component and a second infrared component. A decontamination is performed on the infrared component to generate a decontaminated infrared component, and an interpolation is performed on the visible component to generate an interpolated visible component, both of which are provided to an image signal processor (ISP) for further processing.

Abstract: Embodiments provide a filtering method and device in image processing. The device includes: a dividing unit to divide a first filtering window into blocks; a determining unit to determine a filtering window area according to relevance between a central block and other non-central blocks in the blocks; and a filtering unit to perform filtering processing on an image in the determined filtering window area. With the method and device of the embodiments, a boundary of an object will not be crossed in filtering, and in removing noise, information on other objects will not be introduced to affect the result of filtering. A filtering window size may be determined while filtering is performing, which may be carried out in one path, avoiding time delay resulting from execution of two paths of a conventional method where an edge is detected and then the size of a filtering window is determined.

Abstract: Embodiments provide a filtering method and apparatus for recovering an anti-aliasing edge. The method includes: calculating, for a nonlinearly filtered image, a variance value of an area surrounding a current pixel used for identifying an edge of the image; and re-filtering the current pixel when the variance value is greater than a predefined first threshold value, so as to recover an anti-aliasing edge. With the embodiments of the present application, aliasing noises resulted from nonlinear transform may be alleviated, thereby recovering an anti-aliasing edge of a natural object.

Abstract: An image encoding method includes scanning each pixel in a CU, so as to record color values of color components of each pixel, selecting any color component from the color components as a reference color, and mapping color values of other color components in the color components into color values corresponding to the reference color, so that the color values of the color components are color values based on the reference color, generating a color index table according to the mapped color values of the color components, replacing the color values of the color components of the pixel with index values in the index table to which the color values of the color components of the pixel correspond, and performing entropy encoding on the CU according to the index table and an index value corresponding to each pixel.

Abstract: Embodiments of the present invention provide a method and an apparatus for reducing image noise. The method includes decomposing an original image into a luminance channel image and at least one chrominance channel image, and calculating a weighted average value of each pixel of the luminance channel image and the chrominance channel image by using luminance information, to correct each pixel of the luminance channel image and the chrominance channel image. By virtue of the embodiments of the present invention, it is possible to effectively avoid color dispersion at edges of images, to achieve easy implementation, and to effect low cost.

Abstract: An image compression apparatus including an image segmenting unit to segment an image into a plurality of image blocks; a prediction unit to take an adjacent pixel to which each pixel points in the same angle as a reference pixel, and take a pixel value or a reconstruction value of the reference pixel as a prediction value; an encoding unit to encode a residual obtained by subtracting the prediction value from the pixel value, or a quantization coefficient obtained through a transformation and a quantization of the residual; and a reconstruction unit to add the prediction value with corresponding residual or a residual obtained through an inverse transformation and an inverse quantization of the quantization coefficient to obtain a reconstruction value of each pixel.

Abstract: Embodiments provide a filtering method and apparatus for recovering an anti-aliasing edge. The method includes: calculating, for a nonlinearly filtered image, a variance value of an area surrounding a current pixel used for identifying an edge of the image; and re-filtering the current pixel when the variance value is greater than a predefined first threshold value, so as to recover an anti-aliasing edge. With the embodiments of the present application, aliasing noises resulted from nonlinear transform may be alleviated, thereby recovering an anti-aliasing edge of a natural object.

Abstract: Embodiments provide a filtering method and device in image processing. The device includes: a dividing unit to divide a first filtering window into blocks; a determining unit to determine a filtering window area according to relevance between a central block and other non-central blocks in the blocks; and a filtering unit to perform filtering processing on an image in the determined filtering window area. With the method and device of the embodiments, a boundary of an object will not be crossed in filtering, and in removing noise, information on other objects will not be introduced to affect the result of filtering. A filtering window size may be determined while filtering is performing, which may be carried out in one path, avoiding time delay resulting from execution of two paths of a conventional method where an edge is detected and then the size of a filtering window is determined.

Abstract: Embodiments of the present invention provide a method and an apparatus for reducing image noise. The method includes decomposing an original image into a luminance channel image and at least one chrominance channel image, and calculating a weighted average value of each pixel of the luminance channel image and the chrominance channel image by using luminance information, to correct each pixel of the luminance channel image and the chrominance channel image. By virtue of the embodiments of the present invention, it is possible to effectively avoid color dispersion at edges of images, to achieve easy implementation, and to effect low cost.