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Proceedings Paper

Image Compression Based On Hierarchical Encoding
Author(s): Narciso Garcia; Carlos Munoz; Alberto Sanz
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Paper 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.

Paper Details

Date Published: 1 May 1986
PDF: 8 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952208
Show Author Affiliations
Narciso Garcia, IBM Madrid Scientific Center (Spain)
Carlos Munoz, Univ. Politecnica (Spain)
Alberto Sanz, Univ. Politecnica (Spain)


Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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