计算机工程与应用2012，Vol.48Issue(26)：192-196,5.DOI:10.3778/j.issn.1002-8331.2012.26.042
基于TV准则的图像分块重构算法的研究
Image blocking reconstruction method based on TV-norm
摘要
Abstract
While using compressed sensing theory to process image reconstruction, the thinking based on the block may 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 boundary pixel information that has been reconstructed, thus the image blocking effects are eliminated effectively. Experimental results show that the proposed algorithm can effectively eliminate the image blocking effects, and enhance the reconstructed image's subjective and objective quality. Compared with TVAL3 algorithm, the PSNR value of reconstructed image can increase 0.84 dB 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.关键词
压缩感知/图像重构/TV准则/图像分块Key words
compressed sensing/ image reconstruction/ TV-norm/ image blocking分类
信息技术与安全科学引用本文复制引用
李凯,张淑芳,吕卫,褚晶辉..基于TV准则的图像分块重构算法的研究[J].计算机工程与应用,2012,48(26):192-196,5.基金项目
国家自然科学青年基金(No.61101226) （No.61101226）
内燃机燃烧学国家重点实验室开放课题资助(No.K2011-11). （No.K2011-11）
