DocumentCode
3145664
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
fYear
2009
fDate
15-16 May 2009
Firstpage
206
Lastpage
209
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3619-4
Type
conf
DOI
10.1109/IUCE.2009.64
Filename
5223206
Link To Document