计算机工程与应用2012，Vol.48Issue(24)：177-181,5.DOI:10.3778/j.issn.1002-8331.2012.24.040
基于稀疏表示的SAR图像压缩方法研究
SAR image compression based on sparse representation
蔡红1
作者信息
- 1. 东华大学管理学院,上海200051;上海行健学院,上海200072
- 折叠
摘要
Abstract
The sparse representation based on over-complete dictionary is a new image representation theory. The redundancy of over-complete dictionary can make it effectively capture the geometrical characteristics of the images. SAR image compression is achieved based on over-complete dictionary sparse representation. Only the sparse decomposition coefficients and the index are needed to be stored in order to seize the image' s information. A learning method桲-SVD is adopted to design the dictionary. Because the training examples are all from the image itself, the dictionary should be more approximate to the image's structure. The simulation implies the proposed method is useful for SAR image compression and it outperforms the DCT based Jpeg method and the wavelet based EZW and SPIHT method.关键词
稀疏表示/图像压缩/K-SVD算法/小波变换Key words
sparse representation/ image compression/ AT-SVD algorithm/ wavelet transform分类
信息技术与安全科学引用本文复制引用
蔡红..基于稀疏表示的SAR图像压缩方法研究[J].计算机工程与应用,2012,48(24):177-181,5.
