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Type: Artigo de evento
Title: Low-complexity Waveform Coding Via Alphabet And Sample-set Partitioning
Author: Said A.
Pearlman W.A.
Abstract: We propose a new low-complexity entropy-coding method to be used for coding waveform signals. It is based on the combination of two schemes: (1) an alphabet partitioning method to reduce the complexity of the entropy-coding process; (2) a new recursive set partitioning entropy-coding process that achieves rates smaller than first order entropy even with fast Huffman adaptive codecs. Numerical results with its application for lossy and lossless image compression show the efficacy of the new method, comparable to the best known methods.
Rights: aberto
Identifier DOI: 10.1117/12.263240
Date Issue: 1997
Appears in Collections:Unicamp - Artigos e Outros Documentos

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