Block truncation and planar image coding

被引：7
|
作者：
Olsen, SI [1 ]
机构：
[1] Univ Copenhagen, Dept Comp Sci, Copenhagen, Denmark
来源：
PATTERN RECOGNITION LETTERS | 2000年 / 21卷 / 13-14期
关键词：
fast image coding; vector quantization; block truncation;
D O I：
10.1016/S0167-8655(00)00075-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1141 / 1148
页数：8
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