DocumentCode
131122
Title
An improvement of embedded zerotree wavelet coding based on compressed sensing
Author
Zhi Chen ; Chenhao Mu ; Fan Xu
Author_Institution
Xi´an Inst. of Opt. & Precision Mech., Xi´an, China
fYear
2014
fDate
27-29 June 2014
Firstpage
1177
Lastpage
1180
Abstract
Embedded zero-tree wavelet (EZW) is a kind of image compression algorithm which provides high compression rates fast. In order to improve the quality of reconstructed image after decoding, in this research, we put forward an improvement of embedded zerotree wavelet coding and simulate this new algorithm. This method takes full advantages of the Compressed Sensing (CS) theory and EZW. Simulation results demonstrated that the proposed method improved the quality of the unzipped image significantly.
Keywords
compressed sensing; data compression; embedded systems; image coding; image enhancement; image reconstruction; wavelet transforms; EZW; compressed sensing theory; decoding; embedded zero-tree wavelet coding; image compression algorithm; reconstructed image; Compressed sensing; Image coding; Image reconstruction; Sparse matrices; Wavelet coefficients; Compressed Sensing; Embedded coding; Image compression; Wavelet; Zero-tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4799-3278-8
Type
conf
DOI
10.1109/ICSESS.2014.6933776
Filename
6933776
Link To Document