Improved self-snake based anisotropic diffusion model for edge preserving image denoising using structure tensor

2017 ◽  
Vol 76 (18) ◽  
pp. 18815-18846 ◽  
Author(s):  
V. Kamalaveni ◽  
S. Veni ◽  
K. A. Narayanankutty
Keyword(s):  
Image Denoising ◽  
Diffusion Model ◽  
Anisotropic Diffusion ◽  
Structure Tensor ◽  
Edge Preserving

Anisotropic Diffusion Model Based on a New Diffusion Coefficient and Fractional Order Differential for Image Denoising

2016 ◽  
Vol 16 (01) ◽  
pp. 1650003 ◽  
Author(s):  
Jianjun Yuan ◽  
Lipei Liu
Keyword(s):  
Diffusion Coefficient ◽  
Image Denoising ◽  
Diffusion Model ◽  
Fractional Order ◽  
Anisotropic Diffusion ◽  
Model Based ◽  
Proposed Model

This paper presents an improved anisotropic diffusion model which is based on a new diffusion coefficient and fractional order differential for image denoising. In the proposed model, the new diffusion coefficient can protect edges and fine characteristics from being over-smoothed. The fractional order differential is applied to weaken the staircasing effect, preserve fine characteristics. Additionally, the automatic set method of diffusion coefficient threshold is developed. Comparative experiments show that the proposed model succeeds in denoising and preserving fine characteristics.

An Improved Anisotropic Diffusion Model Based on Wavelet Transform for Image Denosing

2012 ◽  
Vol 532-533 ◽  
pp. 1205-1208
Author(s):  
Rui Lin Zhang ◽  
Hui Min Liu ◽  
Zhu Hua Hu ◽  
Wei Jie Guo
Keyword(s):  
Wavelet Transform ◽  
Image Denoising ◽  
Diffusion Model ◽  
Anisotropic Diffusion ◽  
New Method ◽  
Gray Level ◽  
Low Contrast ◽  
Model Based ◽  
Image Denosing ◽  
Local Gradient

Preserving meaningful details such as blurred thin edges and low-contrast fine features is important in image de noising. A new method based on improved anisotropic diffusion model and wavelet transform is presented for image denoising. The proposed diffusion model incorporates both local gradient and gray-level variance to preserve edges and fine details while effectively removing noise in low-contrast surface images.

A New Enhancement Model Combined Anisotropic Diffusion and Shock Filter

2014 ◽  
Vol 889-890 ◽  
pp. 1089-1092 ◽  
Author(s):  
Jie Zhao ◽  
Yong Mei Qi ◽  
Jian Ying Pei
Keyword(s):  
Diffusion Process ◽  
Image Denoising ◽  
Diffusion Model ◽  
Anisotropic Diffusion ◽  
Edge Enhancement ◽  
Edge Information ◽  
Edge Zone ◽  
Shock Filter ◽  
Novel Model

A novel model which is about the image denoising and enhancement is proposed in this article, the image denoising and enhancement increasingly becomes a bottleneck restricting the follow-up image of a series of processing On the basis of anisotropic diffusion model, an edge stopping function is introduced, which can make up the drawback that solely relies on detecting the gradient information to control the diffusion process .Using the edge stopping function position accurately on the edge so as to achieve the purpose of the noise reduction fully in the non-edge zone, but it inevitably will blur the edge information. Therefore, the further use of the shock filter in the edge enhancement is essential. Experiments show that the model can well remove the image noise and achieve good visual effect.

Sign in / Sign up

Export Citation Format

Share Document