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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933776
