Image Coding Based on Sparsified Contourlet and Adjusted SPIHT

摘要：

　　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.

关键词： Contourlet transform sparse representation SPIHT image compression

作者: Tan Peipei Zhao Wei

作者单位: School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 922-925

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）