Image Compression Based On Hierarchical Encoding

Narciso Garcia; Carlos Munoz; Alberto Sanz

doi:10.1117/12.952208

1 May 1986 Image Compression Based On Hierarchical Encoding

Narciso Garcia, Carlos Munoz, Alberto Sanz

Proceedings Volume 0594, Image Coding; (1986) https://doi.org/10.1117/12.952208
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France

Abstract

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.

Citation Download Citation

Narciso Garcia, Carlos Munoz, and Alberto Sanz "Image Compression Based On Hierarchical Encoding", Proc. SPIE 0594, Image Coding, (1 May 1986); https://doi.org/10.1117/12.952208

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