Image compression using 2D Dual-tree Discrete Wavelet Transform (DDWT)

被引：0
|
作者：
Yang, Jingyu [1 ]
Xu, Wenli [1 ]
Dai, Qionghai [1 ]
Wang, Yao [2 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 10084, Peoples R China
[2] Polytech Univ, Dept Elect & Comp Engn, Brooklyn, NY USA
来源：
2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we investigate image compression using 2D Dual-tree Discrete Wavelet Transform (DDWT), which is an overcomplete transform with direction-selective basis functions. To further sparsify DDWT coefficients, an iterative projection-based noise shaping method is employed. We analyze the statistics of DDWT coefficients as well as the inter-scale, inter-subband, and intra-subband dependency among the DDWT coefficients. We further evaluate the application of SPHIT and EBCOT for coding DDWT coefficients. Experimental results show that SPIHT is more effective than EBCOT for DDWT, and the DDWT-SPIHT coder outperforms JPEG2000 at low bit rates and is comparable to JPEG2000 at high bit rates.
引用
收藏
页码：297 / +
页数：2
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