Improved Vector Quantization Based Block Truncation Coding Using Template Matching and Lloyd Quantization

被引：0

作者：

Jung, Seung-Won ^{[1
]}

Yoon, Yeo-Jin ^{[1
]}

Nam, Hyeong-Min ^{[1
]}

Ko, Sung-Jea ^{[1
]}

机构：

[1] Korea Univ, Dept Elect Engn, Seoul 136701, South Korea

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2009年 / E92A卷 / 12期

关键词：

block truncation coding; template matching; Laplacian distribution; Lloyd quantization; IMAGE COMPRESSION;

D O I：

10.1587/transfun.E92.A.3369

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Block truncation coding (BTC) is an efficient image compression algorithm that generates a constant output bit-rate. For color image compression, vector quantization (VQ) is exploited to improve the coding efficiency. In this letter, we propose ail improved VQ based BTC (VQ-BTC) algorithm using template matching and Lloyd quantization (LQ). The experimental results show that the proposed method improves the PSNR by 0.9 dB in average compared to the conventional VQ-BTC algorithms.

引用

页码：3369 / 3371

页数：3

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