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
fDate :
July 30 2007-Aug. 1 2007
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;
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
DOI :
10.1109/SNPD.2007.260