Title :
Image Restoration Model of PDE Variation
Author :
Wang, Mingjun ; Deng, Shuxian
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
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;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.155
