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

机译:LOCO-I无损图像压缩算法:JPEG-LS的原理和标准化

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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 (1966) 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.
机译:LOCO-I(图像的低复杂度无损压缩)是新ISO / ITU标准的核心算法,用于连续色调图像JPEG-LS的无损和近无损压缩。它被认为是通用上下文建模范例的“低复杂度投影”,它将其建模单元与简单的编码单元相匹配。通过将简单性与上下文模型的压缩潜力相结合,该算法“可以享受两全其美”。它基于简单的固定上下文模型,该模型采用了更为复杂的通用技术捕获高阶依赖的功能。对该模型进行了调整,以有效地结合自适应选择的扩展Golomb(1966)类型代码家族和用于编码低熵图像区域的嵌入式字母扩展。 LOCO-I的压缩率与基于算术编码的最新方案所获得的压缩率相似或更高。此外,它在最佳可用压缩率的几个百分点之内,而复杂度却低得多。我们讨论了LOCO-I设计的基本原理,以及将其标准化为JPEC-LS的方法。

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