An Improved Image Compression Algorithm for Noise Image

被引：0

作者：

Guo, Jinxu ^{[1
]}

Chen, Yong ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Informat, Wuhan 430070, Peoples R China

来源：

2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT UBIQUITOUS COMPUTING AND EDUCATION | 2009年

关键词：

Image compression; MATLAB; JPEG;

D O I：

10.1109/IUCE.2009.64

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A first filter further JPEG compression method is proposed to eliminate the Relevance discrepancy in the digital image with noise. The experimental results show that it can reduce the average code length while image object fidelity is superior to the classical JPEG compression method. It also demonstrated that this algorithm has some advantages that codec process being simple, fast and less error.

引用

页码：206 / 209

页数：4

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