NDLI: Rendering from compressed high dynamic range textures on programmable graphics hardware

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Rendering from compressed high dynamic range textures on programmable graphics hardware

Content Provider	ACM Digital Library
Author	Sloan, Peter-Pike Wei, Li-Yi Wang, Lvdi Wang, Xi Tong, Xin Guo, Baining
Abstract	High dynamic range (HDR) images are increasingly employed in games and interactive applications for accurate rendering and illumination. One disadvantage of HDR images is their large data size; unfortunately, even though solutions have been proposed for future hardware, commodity graphics hardware today does not provide any native compression for HDR textures. In this paper, we perform extensive study of possible methods for supporting compressed HDR textures on commodity graphics hardware. A desirable solution must be implementable on DX9 generation hardware, as well as meet the following requirements. First, the data size should be small and the reconstruction quality must be good. Second, the decompression must be efficient; in particular, bilinear/trilinear/anisotropic texture filtering ought to be performed via native texture hardware instead of custom pixel shader filtering. We present a solution that optimally meets these requirements. Our basic idea is to convert a HDR texture to a custom LUVW space followed by an encoding into a pair of 8-bit DXT textures. Since DXT format is supported on modern commodity graphics hardware, our approach has wide applicability. Our compression ratio is 3:1 for FP16 inputs, allowing applications to store 3 times the number of HDR texels in the same memory footprint. Our decompressor is efficient and can be implemented as a short pixel program. We leverage existing texturing hardware for fast decompression and native texture filtering, allowing HDR textures to be utilized just like traditional 8-bit DXT textures. Our reduced data size has a further advantage: it is even faster than rendering from uncompressed HDR textures due to our reduced texture memory access. Given the quality and efficiency, we believe our approach suitable for games and interactive applications.
Starting Page	17
Ending Page	24
Page Count	8
File Format	PDF
ISBN	9781595936288
DOI	10.1145/1230100.1230103
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-04-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Graphics hardware Games & gpus Texture compression High dynamic range image Texturing techniques Game programming
Content Type	Text
Resource Type	Article

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