Image Restoration Model of PDE Variation

Author

Wang, Mingjun ; Deng, Shuxian

Author_Institution

Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

184

Lastpage

187

Abstract

This paper study a PDE variational model to image denoising and restoration. The existence and uniqueness of the solution is discussed. A new model of image denoising and restoration is deduced by gradient descent flow method. Then, A new numerical analysis model is obtained. The model can preserve the edge feature and smooth the image. The numerical experiments show that the model delivers better results in image denoising and restoration.

Keywords

edge detection; feature extraction; gradient methods; image denoising; image restoration; partial differential equations; smoothing methods; variational techniques; PDE variational model; edge feature preservation; gradient descent flow method; image denoising; image restoration model; image smoothing; numerical analysis; partial differential equation; Biomedical imaging; Educational institutions; Electronic mail; Image denoising; Image processing; Image restoration; Information science; Numerical analysis; Numerical models; Paper technology; PDE; image restoration; variational method;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.155

Filename

5169039