计算机工程与应用2017，Vol.53Issue(19)：198-203,6.DOI:10.3778/j.issn.1002-8331.1604-0282
改进的二阶总广义变分图像去噪算法
Image denoising algorithm with improved second order total generalized variation
摘要
Abstract
In order to denoise the nosiy image and overcome the staircase effect which is often produced by total variation denoising method, a new image denoising method based on the improved second order Total Generalized Variation(TGV) is proposed. Firstly, the theory of second order TGV is presented. Then, an anisotropic diffusion tensor is introduced in the regularization term of second order TGV. The new proposed model is utilized the tensor function to guide the diffusion. At last, an extended primal-dual algorithm is proposed to solve the new model numerically. The new model combines the advantages such as the second order TGV regularization which can automatically balance the first order and second order derivative, the diffusion tensor which can strengthen the edges structures. Experimental results indicate that the proposed method can effectively remove the noise and avoid the staircase effect while preserving the edges of image.关键词
图像去噪/总广义变分/各向异性扩散张量/原始-对偶算法Key words
image denoising/total generalized variation/anisotropic diffusion tensor/primal-dual algorithm分类
信息技术与安全科学引用本文复制引用
刘巧红,孙丽萍,林敏..改进的二阶总广义变分图像去噪算法[J].计算机工程与应用,2017,53(19):198-203,6.基金项目
上海市教育委员会科研创新项目(No.14YZ69). （No.14YZ69）
