基于CS的灰度图像压缩

Gray Image Compression Based on CS

采用较新的压缩感知理论,通过Harr正交稀疏变换和伯努利采样矩阵,实现了对灰度图像的低速压缩采样,并利用正交匹配追踪算法实现压缩数据的恢复.实验结果表明,此算法能较好地实现图像的感知压缩.

By new theory of compression sensing, realizes compressing gray image at a lower sampling rate through Harr sparse orthogonal transformation and Bonuli observation matrix, and restores compressed data by algorithm of orthogonal match pursuit. The experiments show that this method realizes compression sensing quite well.