COMPRESSION OF TEXTURE SETS USING A NON-LINEAR FUNCTION AND QUANTIZATION
In computer graphics, texture refers to a type of surface, including the material characteristics, that can be applied to an object in an image. A texture may be defined using numerous parameters, such as color(s), roughness, glossiness, etc. In some implementations, a texture may be represented as...
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| creator | Burgess, John Matthew Gebhart, Mark Alan Lefohn, Aaron Eliot Vaidyanathan, Karthik Fetterman, Michael Alan Akenine-Moller, Tomas Ebelin, Johan Pontus Heinrich, Steven James Gadre, Shirish Wronski, Bartlomiej Salvi, Marco |
| description | In computer graphics, texture refers to a type of surface, including the material characteristics, that can be applied to an object in an image. A texture may be defined using numerous parameters, such as color(s), roughness, glossiness, etc. In some implementations, a texture may be represented as an image that can be placed on a three-dimensional (3D) model of an object to give surface details to the 3D object. To reduce a size of textures (e.g. for storage and transmission), the present disclosure provides, in one embodiment, for compression of a texture set using a non-linear function and quantization. In another embodiment, the disclosure provides for compression of one or more textures using a non-linear function configured to compress textures with an arbitrary number of channels and/or an arbitrary ordering of channels. |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | COMPRESSION OF TEXTURE SETS USING A NON-LINEAR FUNCTION AND QUANTIZATION |
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