A new gradient-based nonlinear diffusion method applied to image denoising
Xiaobo Zhang, Xiangchu Feng · 2014
This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.