Abstract:
In one embodiment of the present invention, a method for determining a phase alignment of a Bayer color filter array is provided. A quincunx lattice of the color filter array corresponding to a first color component is determined from an input frame of image data. Elements of the color filter array corresponding to first and second rectangular lattices of the color filter array are selected. Second and third color components corresponding to elements of the first and second rectangular lattices are determined from the sample values in an input frame of image data.
Abstract:
Circuits, systems, and methods for processing outlier pixels include a spatial filter and a temporal filter. The spatial filter is configured to compute a pixel difference for each pixel as a function of a pixel value of the pixel and pixel values of nearby pixels within each frame. The spatial filter is configured to dynamically add the pixel to a candidate list when the pixel difference exceeds a threshold value. The temporal filter dynamically removes a pixel from the candidate list when there is a divergence of a pixel value of the pixel in successive frames. The temporal filter determines a pixel in the candidate list is an outlier pixel when there is no such divergence in the successive frames.
Abstract:
A method of reducing aberrations in a digital image comprises capturing input samples associated with a plurality of pixels arranged in a matrix, wherein each pixel is associated with a color defining the digital image; establishing vertical chrominance groups associated with columns of the matrix and horizontal chrominance groups associated with rows of the matrix; determining chrominance values for the chrominance groups; determining, for each chrominance group, a mean value and, a sum of absolute differences between the chrominance values and the mean value for the chrominance values of the chrominance group; calculating, by a signal processing device, a plurality of weights comprising vertical weights associated with the vertical chrominance groups and horizontal weights associated with the horizontal chrominance groups based upon the sums of absolute differences; and determining a missing color component for a predetermined pixel of the plurality of pixels using the plurality of weights.
Abstract:
A method and apparatus are disclosed for adaptively selecting a deblocking filter used in video de-blocking. Determinations are made as to whether each of a set of spatially adjacent video blocks is inter-coded or intra-coded and whether each of said adjacent video blocks is field-coded or frame-coded. A deblocking filter is selected (an interlace deblocking filter or a frame deblocking filter) based on the determinations. The selected deblocking filter is used to filter across a boundary between adjacent video blocks.
Abstract:
A method is provided for displaying progressive video content on an interlaced display device. The method comprises vertically phase shifting video lines of the progressive video content to correctly position the video lines with respect to a video field of the interlaced display device. The method further comprises scaling the video lines of progressive video content to match a vertical size of a video field of the interlaced display device.
Abstract:
In some embodiments, macroblock-level encoding parameters are assigned to weighted Linear combinations of corresponding content-category-level encoding parameters. A macroblock quantization parameter (QP) modulation is set to a weighted linear combination of content category QP modulations. Content categories may identify potentially overlapping content types. The combination weights may be similarity measures describing macroblock similarities to content categories. A macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Content-category-level statistics are generated by combining block-level statistics. Content-category-level statistics may be used in encoding subsequent frames.
Abstract:
In some embodiments, content-category-level encoding statistical indicators (statistics) are assigned to weighted linear combinations of corresponding macroblock-level statistics. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. The combination weights may be similarity measures describing macroblock similarities to content categories. A given macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Macroblock-level encoding parameters are generated by combining content-category-level parameters.
Abstract:
An apparatus including a first circuit and a second circuit. The first circuit may be configured to perform image signal processing using encoding related information. The second circuit may be configured to encode image data using image signal processing related information, wherein said first circuit is further configured to pass said image signal processing related information to said second circuit and said second circuit is further configured to pass said encoding related information to said first circuit.
Abstract:
In some embodiments, macroblock-level encoding parameters are assigned to weighted linear combinations of corresponding content-category-level encoding parameters. For example, a macroblock quantization parameter (QP) modulation is set to a weighted linear combination of content category QP modulations. Content categories may identify potentially overlapping content types such as sky, water, grass, skin, and red content. The combination weights may be similarity measures describing macroblock similarities to content categories. A macroblock may be associated with multiple content categories, with different similarity levels for different content categories. A similarity measure for a given macroblock with respect to a content category may be defined as a number (between 0 and 8) of neighboring macroblocks that meet a similarity condition, provided the macroblock meets a qualification condition. The similarity condition may be computationally simpler than the qualification condition. Content-category-level statistics are generated by combining block-level statistics. Content-category-level statistics may be used in encoding subsequent frames.
Abstract:
System and method for decoding digital video data. The decoding system employs hardware accelerators that assist a core processor in performing selected decoding tasks. The hardware accelerators are configurable to support a plurality of existing and future encoding/decoding formats. The accelerators are configurable to support substantially any existing or future encoding/decoding formats that fall into the general class of DCT-based, entropy decoded, block-motion-compensated compression algorithms. The hardware accelerators illustratively comprise a programmable entropy decoder, an inverse quantization module, a inverse discrete cosine transform module, a pixel filter, a motion compensation module and a de-blocking filter. The hardware accelerators function in a decoding pipeline wherein at any given stage in the pipeline, while a given function is being performed on a given macroblock, the next macroblock in the data stream is being worked on by the previous function in the pipeline.