基于DCT扇形划分的压缩感知图像处理  

Compressed sensing for image processing based on DCT fan-shaped segmentation

作　　者：王威[1] 杨蔚蔚 李正臣 

机构地区：[1]长沙理工大学计算机与通信学院,长沙410114 [2]海军青岛地区装备修理监修室,山东青岛266000

出　　处：《计算机工程与应用》2015年第24期186-189,共4页Computer Engineering and Applications

基　　金：973国家重大基础项目;国家部委预研基金

摘　　要：提出了一种改进的DCT扇形划分的压缩感知方法。为了进一步提高图像重建质量,降低重建时间,使用扇形划分的形式保留低频带系数,利用不同采样率分别对中/高频带系数进行测量。利用正交匹配追踪算法(OMP)对中/高频系数进行恢复,进行DCT反变换重构图像。实验证明,在压缩率较小时,与单层小波等方法相比,该方法的重建效果得到明显提高。An improved Compressed Sensing（CS）algorithm based on the Discrete Cosine Transform（DCT）fan-shaped segmentation is proposed. In order to improve the quality of the reconstructed image and reduce the time-consuming, the low-pass coefficients in the form of fan-shaped segmentation are preserved. Then the middle/high-pass coefficients in different sampling rate are measured. The Orthogonal Matching Pursuit（OMP） algorithm is used to recover the middle/high-pass DCT coefficients. So, the image can be reconstructed by the inverse DCT transform. The experiment results show that when the compressing ratio is lower, the PSNR is improved distinctly compared with the single layer wavelet transform and so on.

关 键 词：压缩感知 离散余弦变换 扇形划分 变采样率 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]