基于混合采样的压缩感知重构算法.pdfVIP

第38卷第1 期 计 量 学 报 Vol. 38 , N:! 1 2017 年 1 月 ACTA METROLOGICA SINICA January , 2017 doi: 10. 3969/j. issn. 1000-1158. 2017. 01.15 基于混合采样的压缩感知重构算法 张淑清， 胡永涛， 王世豪， 籍冰朔， 姜万录 (燕山大学电气工程学院河北省测试计量技术及仪器重点实验室，河北秦皇岛侃6∞4) 摘要:为了提高图像的重构质量和缩短重构时间，同时保持较高的压缩比，提出了一种基于1昆合采样的压缩感 知重构算法。将图像划分为感兴趣区域和非感兴趣区域，对感兴趣区域采用恢复质量较好的正交匹配追踪算法， 对非感兴趣区域采用恢复时间较短的分段正交匹配追踪算法。感兴趣区域图像中除感兴趣区域外，其他部分灰度 置零以增加采样率和图像稀疏度。实验表明，该方法可以较好恢复图像感兴趣的区域，并保持较高压缩比。 关键词:计量学;图像重构;混合采样;压缩感知;感兴趣区域;压缩比 中固分类号: TB96 文献标识码:A 文章编号: 1α泊-1158 (2017 )01 -0069心4 Compressed Sensing Reconstruction Algorithm Based on Hybrid Sampling ZHANG Shu叩吨， HU Yong-tao , WANG Shi-hao , 11 Bing-shuo , JIANG Wan-lu ( Institute of Electrical Engineering , the Key Lah of Measurement Technology and Instrumentation of Hebei Province , Yanshan University , Qinhuangdao , Hebei 066∞4 ， China) Abstract: In order to improve the image reconstruction quality and the reconstruction time with high compression ratio , a compression perception reconstruction algorithm based on hybrid sampling is proposed. The image is divided into the interested and non-interested area. It used the orthogonal matching pursuit (OMP) algorithm with better quality of recove巧 for the interested area , and the Stagewise Orthogonal Matching Pursuit algorithm with the recove巧 time shorter for the non-interested area. In the interested image , the gray level of the parts except the interested region is set to zero , so as to increase the rate of sampling and image sp缸se degree. Experiments show that this method could restore the interested 缸ea of an imagine better , and maintain a high