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Proceedings Paper

Embedded memory compression for video and graphics applications
Author(s): Andy Teng; Dane Gokce; Mickey Aleksic; Yuriy A. Reznik
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Paper Abstract

We describe design of a low-complexity lossless and near-lossless image compression system with random access, suitable for embedded memory compression applications. This system employs a block-based DPCM coder using variable-length encoding for the residual. As part of this design, we propose to use non-prefix (one-to-one) codes for coding of residuals, and show that they offer improvements in compression performance compared to conventional techniques, such as Golomb-Rice and Huffman codes.

Paper Details

Date Published: 8 September 2010
PDF: 8 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77980Y (8 September 2010); doi: 10.1117/12.862254
Show Author Affiliations
Andy Teng, Qualcomm Inc. (United States)
Dane Gokce, Qualcomm Inc. (United States)
Mickey Aleksic, Qualcomm Inc. (United States)
Yuriy A. Reznik, Qualcomm Inc. (United States)


Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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