基于TV准则的图像分块重构算法的研究.pdfVIP

网络出版时间：2011-11-14 09:39 网络出版地址：/kcms/detail/11.2127.TP0939.011.html 10/12/2011 基于 TV 准则的图像分块重构算法的研究 李凯 ，张淑芳，吕卫，褚晶辉 LI Kai, ZHANG ShuFang, LV Wei, CHU JingHui (天津大学电子信息工程学院 天津 300072) (School of Electronic and Information Engineering, Tianjin University, Tianjin 300072, China) E-mail:li123kai@126.com Image Blocking Reconstruction Method Based on TV-Norm Abstract: While using compressed sensing theory to process image reconstruction, the thinking based on the block ma improve the speed of the reconstruction obviously, but this will bring a strong blocking effects. In order to solve the problem, an image block reconstruction algorithm based on TV norm is proposed, which improves the gradient calculation method based on the entire image, and makes full use of the boundar pixel information that has been reconstructed, thus the image blocking effects are eliminated effectivel . Experimental results show that the proposed algorithm can effectivel eliminate the image blocking effects, and enhance the reconstructed image’s subjective and objective qualit . Compared with TVAL3 algorithm, the PSNR value of reconstructed image can increase 0.84dB at most, and the reconstructed time can be saved as high as 24.38%. Additionally, the proposed algorithm is especially suitable for the case of low sampling rate. Key words: compressed sensing; image reconstruction; TV-norm; image blocking 摘 要 ：利用压缩感知理论进行图像重构时，基于分块思想进行可有效提高重构速度，但同时会带来较强的块效应。为了解决该 问题，提出了一种基于 TV 准则的图像分块重构算法，该算法将基于整幅图像时梯度计算方法进行改进，充分利用已重构块的边 界像素信息，从而有效消除了图像的块效应。实验结果表明，所提算法能够有效消除图像的块效应，提高重构图像的主客观质量， 与 TVAL3 算法相比，重构图像的 PSNR 值最多提高了 0.84dB，时间最高可节省24.38%，该算法尤其适用于低采样率的情况。 关键词：压缩感知; 图像重构; TV 准则; 图像分块 文献标识码: A 中图分类号: TN919.81 进行了改进，可以有效利用图像块之间的相关性，很 1 引言