An Alternative Framework of Anisotropic Diffusion for Image Denoising
Subit Kumar Jain, Rajendra K. Ray · 2016
This paper deals with an anisotropic diffusion based noise removal technique which utilizes the new diffusion function based on tangent sigmoid function. A local edge indicator function based on local structure tensor is also used in the proposed technique, to reduce the noise and detection of edges in digital images. From the experimental results, we observe that the proposed method is better and near to the other state-of-the-art approaches, in terms of both qualitatively and quantitatively. Numerical tests were performed on various images, which are corrupted by Gaussian noise and results illustrate that the proposed approach is more efficient than existing one.