DocumentCode
3610442
Title
Improved anisotropic diffusion equation based on new non-local information scheme for image denoising
Author
Jianjun Yuan
Author_Institution
Sch. of Math. & Stat., Southwest Univ., Chongqing, China
Volume
9
Issue
6
fYear
2015
Firstpage
864
Lastpage
870
Abstract
This study presents a new Perona-Malik (PM) model which is based on new non-local means (NLM) theory for an image denoising. In the proposed model, the intensity, space position and gradient information are introduced into NLM model, which weakens the staircasing effect and preserves edge in a processed image. The new PM model enhances the denoising capability, and decreases fine characteristics to be over-smoothed. Comparative experiments show that the denoising capability of the proposed model is superior to the other three existing models.
Keywords
edge detection; gradient methods; image denoising; NLM theory; PM model; Perona-Malik model; anisotropic diffusion equation; denoising capability; gradient information; image denoising; image processing; nonlocal information scheme; nonlocal means theory; space position; staircasing effect;
fLanguage
English
Journal_Title
Computer Vision, IET
Publisher
iet
ISSN
1751-9632
Type
jour
DOI
10.1049/iet-cvi.2014.0415
Filename
7328492
Link To Document