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Lossless and progressive Image COding Using Generalized Reduced Pyramids

机译:使用广义减少金字塔的无损和渐进图像编码

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Reduced pyramids, i.e pyramids without analysis flters are known to produce excellent results when used for losslesssignal nad image compression. The present paper introduces a novel methos for the construction of extended reduced pyramids with rational decimation ratios form stage to stage. It is shown that this construction produces more accurte interpolation than conventional reduced pyramids. The synthesis filters are selectedso as to minimize the error variance at each stage ofthe pyramid. This establishes optimally efficient interpolative lossless ocmpresion. It also has the added advntage of producing lossy replicas of the original, which, at lower resolutions retain as much similarity to the original as possible. This is highly useful for the progressive coding of signals or images, needed in many applications such as fast browsing through image databases or hybrid lossless/lossy medical image coding. Experimental evaluatin shows that the resulting method produces better results than other known algorithms for progressive lossless image coding.
机译:众所周知,金字塔减少,即没有分析流动器的金字塔,当用于无损无源NAD图像压缩时,可以产生出色的结果。本文介绍了一种新的Methos,用于构建延伸的减少金字塔,具有合理的抽取比率形成阶段至阶段。结果表明,该结构产生比传统的减少金字塔更精确的插值。合成滤波器被选择为以最小化金字塔的每个阶段的误差方差。这建立了最佳有效的内插无损OCMPresion。它还具有制作原始损坏复制品的增加的addntage,下决议尽可能地保留与原件的相似性。这对于许多应用中所需的信号或图像的逐步编码非常有用,例如通过图像数据库或混合无损/有损的医学图像编码。实验性评估表明,所得方法产生比其他已知算法编码的其他已知算法的结果更好。

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