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

Image Analysis, Computational Modelling and Geometry

Research output: Contribution to journal › Journal article › Research › peer-review

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.

Original language	English
Journal	Pattern Recognition Letters
Volume	21
Issue number	13-14
Pages (from-to)	1141-1148
Number of pages	8
ISSN	0167-8655
DOIs	https://doi.org/10.1016/S0167-8655(00)00075-1
Publication status	Published - 2000

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10.1016/S0167-8655(00)00075-1

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Cite this

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title = "Block truncation and planar image coding",

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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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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