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 :
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