Block truncation and planar image coding

Søren I. Olsen

doi:10.1016/S0167-8655(00)00075-1

Block truncation and planar image coding

Søren I. Olsen

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

9 Citationer (Scopus)

Abstract

A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.

Originalsprog	Engelsk
Tidsskrift	Pattern Recognition Letters
Vol/bind	21
Udgave nummer	13-14
Sider (fra-til)	1141-1148
Antal sider	8
ISSN	0167-8655
DOI	https://doi.org/10.1016/S0167-8655(00)00075-1
Status	Udgivet - dec. 2000

Adgang til dokumentet

10.1016/S0167-8655(00)00075-1

Citationsformater

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abstract = "A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.",

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year = "2000",

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AB - A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.

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DO - 10.1016/S0167-8655(00)00075-1

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JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

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