DocumentCode
1848094
Title
Image coding based on sparsified Contourlet and adjusted SPIHT
Author
Tan Peipei ; Zhao Wei
Author_Institution
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume
2
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
922
Lastpage
925
Abstract
The benefits of the directional representation are discounted by the redundancy of Contourlet transform when it is directly coded. In this paper, we propose an image compression algorithm based on sparsified Contourlet coefficients and A-SPIHT-CT (adjusted SPIHT based on Contourlet transform). The Contourlet transform is sparsified by the iterative thresholding mehod before coding. The experiments show that the coding results based on the sparsified Contourlet outperform the original Contourlet transform.
Keywords
data compression; image coding; iterative methods; transforms; adjusted SPIHT; contourlet transform; image coding; image compression algorithm; iterative thresholding mehod; sparsified contourlet; sparsified contourlet coefficients; Contourlet transform; SPIHT; image compression; sparse representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491730
Filename
6491730
Link To Document