Anisotropic optimization for texture filtering

Details Anisotropic optimization for texture filtering Anisotropic optimization for texture filtering

2008-01-16

2009-11-17

Azarian, Seyed (Department: 2624)

Image analysis

Applications

Surface texture or roughness measuring

C382S260000, C345S582000

Reexamination Certificate

active

07620210

ABSTRACT:
Anisotropic optimization is a technique to reduce the number of texture samples anisotropically filtered to determine a texture value associated with a graphics fragment. Reducing the number of texture samples anisotropically filtered reduces the number of texture samples read from memory and speeds up the filter computation. A programmable bias is used to control the number of texture samples used during anisotropic filtering, permitting a user to determine a balance between improved texture map performance and anisotropic texture filtering quality.

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