S3 Graphics Co., Ltd.

Advanced Micro Devices Corporation

Ati Technologies Ulc

Via Technologies, Inc.

S3 Incorporated, Inc.

Amd Inc.

Konstantine I Iourcha

Zhou Hong

Andrew S C Pomianowski

Krishna S Nayak

Andrew S Pomianowski

John Wakefield Brothers

Raja Koduri

Baskaran Vijayakumar

Timour T Paltashev

Boris Prokopenko

Jason Yang

Derek Gladding

Greg Sadowski

Roger Swanson

Daniel Hung

Michael Doggett

Gordon Elder, Iii

Axel Schildan

Lin Chen

Fred Liao

Andrea Nguyen

Elaine Poon

Chung-Kuang Chin

Michael Hong

Roger W Swanson

Andrew Sc Pomianowski

Andrew SC Pomianowski

A method and an apparatus for decoding an image are disclosed. A region of the image is selected and the decoding is selected region and associated metadata is performed. Pixels for a generated for a decoded image based on the decoded selected region and metadata.

Region-based image decompression

A processing unit, method, and medium for decompressing or generating textures within a graphics processing unit (GPU). The textures are compressed with a variable-rate compression scheme such as JPEG. The compressed textures are retrieved from system memory and transferred to local cache memory on the GPU without first being decompressed. A table is utilized by the cache to locate individual blocks within the compressed texture. A decompressing shader processor receives compressed blocks and then performs on-the-fly decompression of the blocks. The decompressed blocks are then processed as usual by a texture consuming shader processor of the GPU.

Real time on-chip texture decompression using shader processors

A system and method for texture decompression is described. The method comprises receiving a compressed texture block including two or more disjoint subsets of data and decompressing the compressed texture block. The decompressing includes decompressing each of the two or more disjoint subsets in the compressed texture block to form texels. The two or more disjoint subsets include a first disjoint subset having a first set of color endpoints and a first index value for a first texel, and a second disjoint subset having a second set of color endpoints.

Texture decompression techniques

A system and method for texture decompression is described. The method comprises receiving a first compressed texture block including two or more disjoint subsets of data and decompressing the first compressed texture block. The decompressing includes decompressing the two or more disjoint subsets in the first compressed texture block to form texels. The two or more disjoint subsets include a first disjoint subset comprising a first set of color endpoints and a second disjoint subset comprising a second set of color endpoints.

A method and computer processing system for performing texture compression comprising receiving, from a memory storing a compressed texture block and by a graphics processing unit including at least one rendering pipeline, the compressed texture block including two or more disjoint subsets, and decompressing, by the at least one rendering pipeline, the compressed texture block, wherein decompressing the compressed texture block comprises: decompressing data in the two or more disjoint subsets in the compressed texture block to form texels, wherein the two or more disjoint subsets include a first disjoint subset including a first set of color endpoints and a second disjoint subset including a second set of color endpoints.

An apparatus for encoding an image and an apparatus for decoding an image are presented. An image contains one or more regions. For encoding the image, the image is decomposed into one or more regions and a region is evaluated to determine whether the region meets a predetermined compressions acceptability criteria. The region is then encoded in response to the transformed and quantized region meeting the predetermined compression acceptability criteria. For decoding the image, a region of the image is selected and the selected region is decoded using metadata associated with the selected region. The metadata includes transformation quantization settings and information describing an aspect ratio used to compress the region.

Region-based image compression and decompression

A texture decompression method is described. The method comprises receiving a compressed texture block, determining a partition of pixels used for the compressed texture block, wherein the partition includes one or more disjoint subsets into which data in the compressed texture block is to be unpacked, unpacking data for each subset based on the determined partition, and decompressing each of the one or more disjoint subsets to form an approximation of an original texture block.

A method, apparatus, and a non-transitory computer readable medium for compressing an image including one or more regions are presented. An image is decomposed into one or more regions and a region is evaluated to determine whether the region meets a predetermined compressions acceptability criteria. In response to the region not meeting the predetermined compression acceptability criteria, the region is transformed and quantized. The region is then encoded in response to the transformed and quantized region meeting the predetermined compression acceptability criteria. In response to the transformed and quantized region not meeting the predetermined compression acceptability criteria, transformation and quantization settings are adjusted and the region is transformed and quantized using the adjusted settings. The region is then encoded in response to the predetermined compression acceptability criteria having been reached.

Region-based image compression

A texture compression method is described. The method comprises splitting an original texture having a plurality of pixels into original blocks of pixels. Then, for each of the original blocks of pixels, a partition is identified that has one or more disjoint subsets of pixels whose union is the original block of pixels. The original block of pixels is further subdivided into one or more subsets according to the identified partition. Finally, each subset is independently compressed to form a compressed texture block.

Texture compression techniques

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.

Hybrid block based compression

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.

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San Jose, CA, United States of America

Konstantine I Iourcha