Math @ Duke
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Publications [#265140] of Guillermo Sapiro
Papers Published
- Weinberger, MJ; Seroussi, G; Sapiro, G, The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS.,
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 9 no. 8
(January, 2000),
pp. 1309-1324, ISSN 1057-7149 [18262969], [doi]
(last updated on 2025/02/02)
Abstract: LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a "low complexity projection" of the universal context modeling paradigm, matching its modeling unit to a simple coding unit. By combining simplicity with the compression potential of context models, the algorithm "enjoys the best of both worlds." It is based on a simple fixed context model, which approaches the capability of the more complex universal techniques for capturing high-order dependencies. The model is tuned for efficient performance in conjunction with an extended family of Golomb-type codes, which are adaptively chosen, and an embedded alphabet extension for coding of low-entropy image regions. LOCO-I attains compression ratios similar or superior to those obtained with state-of-the-art schemes based on arithmetic coding. Moreover, it is within a few percentage points of the best available compression ratios, at a much lower complexity level. We discuss the principles underlying the design of LOCO-I, and its standardization into JPEC-LS.
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