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The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

IEEE Transactions on Image Processing · 2000 · Vol. 9(8) · pp. 1309–1324
M.J. WeinbergerG. SeroussiGuillermo Sapiro

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.

Advanced Data Compression TechniquesAlgorithms and Data CompressionVideo Coding and Compression TechnologiesLossless compressionGolomb codingLossless JPEGData compressionAlgorithmLossy compressionEntropy encodingArithmetic codingImage compressionContext-adaptive binary arithmetic coding
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1,619
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References
Context-based, adaptive, lossless image coding
IEEE Transactions on Communications · 1997 · 979 citations
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory · 1977 · 5,424 citations
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The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing · 2000 · 1,619 citations
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