期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：10
页码：69-76
出版社：SERSC
摘要：It is assumedin thetraditional total variation(neighbor domain, ND)algorithmthat the pixel points are located at the edge and an edge-preserving model is set up. In the algorithm, pixels in flat regions of the image diffuse along the edge direction, leading to insufficient noise suppression and even presence of false edges. To carry on the edge-saving feature of neighbor domainalgorithm and to make up its deficiency in omitting the image edge direction, this paper introduces direction neighborhood to the total variation algorithm so that edge points diffuse along the direction neighborhood. It changes the mode where edge points in the traditional NDalgorithm diffuse along the multi-neighborhood, maximizing the smoothness along the edge direction and minimizing that at the vertical edge direction. The experimentalresults show that the image denoising method based on vector neighbor domaineffectively addresses the drawbacks existing in the traditional NDalgorithm and provides faster convergence efficiency, achieving both denoising and edge-preserving and improving PSNR and visualeffects of theimage.
