Title :
An Improved Image Compression Algorithm for Noise Image
Author :
Guo, Jinxu ; Chen, Yong
Author_Institution :
Sch. of Inf., Wuhan Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
data compression; filtering theory; image coding; image denoising; JPEG compression method; image compression algorithm; noise image; relevance discrepancy; Code standards; Compression algorithms; Digital images; Electronic mail; Image coding; Information filtering; Information filters; Low pass filters; Noise generators; Transform coding; Image compression; JPEG; MATLAB;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.64
