DocumentCode
2683045
Title
An Enhanced Fourth-Order PDE Model Based on Laplacian and Gradient Operator
Author
Zhang, Junhai ; Li, Liangchao ; Yang, Jianyu
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China Chengdu, Chengdu, China
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
144
Lastpage
146
Abstract
An enhanced fourth-order PDE model is proposed in this paper. This model utilizes a parameter to control the image denoising process. The parameter consists of two parts, one is absolute value of the image´s Laplacian, the other is the image´s gradient magnitude. Experiment results demonstrate that this model can make a better trade-off between noise removal and edge preservation than others, and it can reduce the dissipation effects.
Keywords
image denoising; partial differential equations; Laplacian operator; edge preservation; enhanced fourth order PDE model; gradient operator; image Laplacian; image denoising process; image gradient magnitude; noise removal; Computational modeling; Equations; Image edge detection; Laplace equations; Mathematical model; PSNR; Fourth-order PDE; dissipation effects; edge preservation; noise removal;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.51
Filename
6391889
Link To Document