DocumentCode
466851
Title
An Improved Anisotropic Diffusion PDE for Noise Removal and Edge Preservation
Author
Wang, Zhifeng ; Li, Xiaomao ; Tang, Yandong
Author_Institution
Chinese Acad. of Sci., Shenyang
Volume
1
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
191
Lastpage
195
Abstract
In this paper, an improved anisotropic nonlinear diffusion equation for image restoration is presented. As a corner in an image is rounded when using degenerated diffusion equation to smooth the image, it proposed to use both the gradient and the second order directional derivative in the direction orthogonal to the gradient to control the diffusion velocity. It can remove noise and perform stably. It can also enhance step-like edges and keep the locality of them. Compared with other method, it is capable of keeping stronger peaks and thin edges. Due to these characteristics, not only the processed noisy image look much more clear and smooth, but also the details are kept, resulting in the naturalness. The experiment results are very satisfactory.
Keywords
edge detection; gradient methods; image denoising; image restoration; nonlinear equations; partial differential equations; anisotropic nonlinear diffusion partial differential equation; edge preservation; gradient method; image restoration; noise removal; second order directional derivative; Anisotropic magnetoresistance; Artificial intelligence; Distributed computing; Gaussian noise; Image restoration; Laboratories; Nonlinear equations; Robotics and automation; Smoothing methods; Software engineering; PDE; anisotropic diffusion; noise removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location
Qingdao
Print_ISBN
978-0-7695-2909-7
Type
conf
DOI
10.1109/SNPD.2007.260
Filename
4287500
Link To Document