计算机应用研究2013，Vol.30Issue(7)：2219-2222,4.DOI:10.3969/j.issn.1001-3695.2013.07.075
方向邻域全变分图像去噪
Image denoising on direction total variation
龙辉 1何坤 1黎思敏 2周激流1
作者信息
- 1. 四川大学计算机学院,成都 610065
- 2. 四川大学电子信息学院,成都 610065
- 折叠
摘要
Abstract
Traditional algorithms of total variation often neglect the images'edge direction.To remedy this defect,this paper proposed a new method of image denoising on direction total variation,combining gradient magnitude and orientation.It divided the image into edge regions and non-edge regions on edge gradient magnitude,and chose different four-neighborhood for different regions based on gradient magnitude,to various of the neighborhoods using analysis of variance.So it can preserves image edges during image denoising.Experimental results show that the proposed method combining edge direction information can improve the neighborhood selection strategy in traditional methods of total variation.It not only preserves edges and key details effectively,but also improves the PSNR and vision of denoising images.关键词
图像去噪/全变分/Sobel算子/边缘方向Key words
image denoising/total variation(TV)/Sobel operator/edge direction分类
信息技术与安全科学引用本文复制引用
龙辉,何坤,黎思敏,周激流..方向邻域全变分图像去噪[J].计算机应用研究,2013,30(7):2219-2222,4.
