计算机应用研究2017，Vol.34Issue(1)：317-320,4.DOI:10.3969/j.issn.1001-3695.2017.01.072
基于奇异值分解和Contourlet变换的图像压缩算法
Lossy image compression using SVD and Contourlet transform
摘要
Abstract
With the rapid development of Internet,image information is growing.In order to reduce the storage and improve the image quality,the paper proposed a new image compression algorithm that combined SVD and Contourlet transform.The image was decomposed by singular value decomposition.According to the contribution of singular value to the image signal,the algo-rithm selected the appropriate singular value to realize image compression.Then it compressed the image again using Contourlet transform compression algorithm.Compared with the singular value decomposition algorithm and Contourlet transform compres-sion algorithm,the results show that the proposed algorithm has better performance than singular value decomposition algorithm and Contourlet transform compression algorithm.The proposed algorithm can obtain higher peak signal to noise ratio and SSIM in the same compression ratio.关键词
奇异值分解/Contourlet变化/图像压缩Key words
singular value decomposition/Contourlet transform/image compression分类
信息技术与安全科学引用本文复制引用
陈亚雄,黄樟灿,冯磊..基于奇异值分解和Contourlet变换的图像压缩算法[J].计算机应用研究,2017,34(1):317-320,4.
