Pomianowski
Andrew Pomianowski, Palo Alto, CA US
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20090256848 | Filtering Method and Apparatus for Anti-Aliasing - Embodiments of a filtering method and apparatus for anti-aliasing as described herein take advantage of improved existing hardware by using as input the data stored in the multisampling anti-aliasing (MSAA) buffers after rendering. The standard hardware box-filter is then replaced with a more intelligent resolve implemented using shader programs. Embodiments find scene edges using existing samples generated by Graphics Processing Unit (GPU) hardware. Using samples from a footprint larger than a single pixel, a gradient is calculated matching the direction of an edge. A non-linear filter over contributing samples in the direction of the gradient gives the final result. | 10-15-2009 |
20100053176 | Video Processing Across Multiple Graphics Processing Units - A processing unit, method, and graphics processing system are provided for processing a plurality of frames of graphics data. For instance, the processing unit can include a first plurality of graphics processing units (GPUs), a second plurality of GPUs, and a plurality of compositors. The first plurality of GPUs can be configured to process a first frame of graphics data. Likewise, the second plurality of GPUs can be configured to process a second frame of graphics data. Further, each compositor in the plurality of compositors can be coupled to a respective GPU from the first and second pluralities of GPUs, where the plurality of compositors is configured to sequentially pass the first and second frames of graphics data to a display module. | 03-04-2010 |
20130106902 | FILTERING METHOD AND APPARATUS FOR ANTI-ALIASING | 05-02-2013 |
Andrew S. Pomianowski, Palo Alto, CA US
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20120274655 | ANTIALIASING SYSTEM AND METHOD - A system and method for improved antialiasing in video processing is described herein. Embodiments include multiple video processors (VPUs) in a system. Each VPU performs some combination of pixel sampling and pixel center sampling (also referred to as multisampling and supersampling). Each VPU performs sampling on the same pixels or pixel centers, but each VPU creates samples positioned differently from the other VPUs corresponding samples. The VPUs each output frame data that has been multisampled and/or supersampled into a compositor that composites the frame data to produce an antialiased rendered frame. The antialiased rendered frame has an effectively doubled antialiasing factor. | 11-01-2012 |
Andrew S. Pomianowski, Sunnyvale, CA US
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20130094775 | REGION-BASED IMAGE COMPRESSION - A method for compressing an image includes decomposing the image into one or more regions. A region of the image is selected to be evaluated. The selected region is transformed and quantized if the region does not meet a predetermined compression acceptability criteria. The predetermined compression acceptability criteria may include a specific bit rate, a specific image quality, or combinations thereof. If the region does not meet the predetermined compression acceptability criteria after the region has been transformed and quantized, then the transformation and quantization settings are adjusted and the region is transformed and quantized using the adjusted settings. The region is then encoded when the predetermined compression acceptability criteria has been reached. The encoding may include additional compression stages. | 04-18-2013 |
20140327696 | VARIABLE ACUITY RENDERING USING MULTISAMPLE ANTI-ALIASING - Embodiments are described for a method for using anti-aliasing hardware to generate a higher resolution image at the processing of a lower resolution image with anti-aliasing. A graphics image comprising allocating a buffer used in a multisample anti-aliasing process, wherein the allocated buffer has a dimension comprising a reduction in at least one of the width or height of an original dimension of an original buffer provided by the anti-aliasing hardware; rendering sampled image data to the allocated buffer at a sampling rate proportional to the reduction; and expanding the allocated buffer back to the dimension of the original buffer. | 11-06-2014 |
20150215622 | REGION-BASED IMAGE DECOMPRESSION - A method and a non-transitory computer readable medium for decompressing an image including one or more regions are presented. A region of the image is selected to be decoded. The region and metadata associated with the region are decoded, the metadata including transformation and quantization settings used to compress the region. A reconstruction transformation is applied to the region using the transformation and quantization settings. | 07-30-2015 |
Andrew S.c. Pomianowski, Palo Alto, CA US
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20130315481 | METHOD AND APPARATUS FOR BLOCK BASED IMAGE COMPRESSION WITH MULTIPLE NON-UNIFORM BLOCK ENCODINGS - Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks. | 11-28-2013 |
Andrew S.c. Pomianowski, Sunnyvale, CA US
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20160105677 | HYBRID BLOCK BASED COMPRESSION - A method and apparatus is provided for block based compression of a texture using hardware supported compression formats. The method comprises dividing a texture into a plurality of blocks, for each block, determining a transform for use with the block to minimize an error metric, encoding at least one characteristic of the transform into a plurality of bits otherwise available to represent reference component values, and compressing the block. | 04-14-2016 |
Andrew S. C. Pomianowski, Palo Alto, CA US
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20090274366 | METHOD AND APPARATUS FOR BLOCK BASED IMAGE COMPRESSION WITH MULTIPLE NON-UNIFORM BLOCK ENCODINGS - Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks. | 11-05-2009 |
20120002873 | METHOD AND APPARATUS FOR BLOCK BASED IMAGE COMPRESSION WITH MULTIPLE NON-UNIFORM BLOCK ENCODINGS - Embodiments of the present invention are directed to a method and apparatus for block based image compression with multiple non-uniform block encodings. In one embodiment, an image is divided into blocks of pixels. In one embodiment the blocks are four pixels by four pixels, but other block sizes are used in other embodiments. In one embodiment, a block of pixels in the original image is compressed using two different methods to produce a first and second compressed block. Thus, each block in the original image is represented by two, typically different, compressed blocks. In one embodiment, color associated with a pixel is determined by combining the compressed information about the pixel in the first compressed block with information about the pixel in the second compressed block. In another embodiment, global information about the image is combined with the information in the first and second compressed blocks. | 01-05-2012 |