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1 May 1986 Image Compression Based On Hierarchical Encoding
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Proceedings Volume 0594, Image Coding; (1986)
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France
Hierarchical encoding, initially developed for image decomposition, is a feasible alternative for image transmission and storage. Several independent compression strategies can be implemented, and, therefore, applied at the same time. Lossless encoding o Universal statistical compression on the hierarchical code. A unique Huffman code, valid for every hierarchical transform is built. Lossy encoding o Improvement of the intermediate approximations, as this can decrease the effective bit rate for transmission applications. Interpolating schemes and non-uniform spatial out-growth help solve this problem. o Prediction strategies on the hierarchical code. A three-dimensional predictor (space and hierarchy) on the code-pyramid reduces the information required to build new layers. o Early branch ending. Analysis of image homogeneities detects areas of similar values that can be approximated by a unique value.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Narciso Garcia, Carlos Munoz, and Alberto Sanz "Image Compression Based On Hierarchical Encoding", Proc. SPIE 0594, Image Coding, (1 May 1986);


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