DocumentCode :
684803
Title :
An improved image anisotropic diffusion denoise model
Author :
Pingxian Yang ; Zhengwei Chang
Author_Institution :
Dept. of Electron. Inf. & Autom., Sichuan Univ. of Sci. & Eng., Zigong, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
1
Lastpage :
3
Abstract :
Diffusion has received a lot of attention and has experienced significant developments, it can simultaneously enhance, sharpen and denoise image. The anisotropic diffusion model is adjusted according to the set of image gradient, so it has many formats diffusion function. The aim of the present paper is to study function´s character and propose a new diffusion function according to the Aubert model. The results of experiments demonstrate the novel diffusion model denoise the image and retain the details more effective than Aubert diffusion model.
Keywords :
image denoising; image enhancement; Aubert diffusion model; diffusion function character; image anisotropic diffusion denoise model; image enhancement; image gradient; image sharpening; Anisotropic diffusion; Diffusion function; Image denoise; Image gradient;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
Type :
conf
DOI :
10.1049/cp.2012.2389
Filename :
6755768
Link To Document :
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