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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491730
