DocumentCode :
580237
Title :
A Novel Partial Differential Equation Method Based on Image Features and Its Applications in Denoising
Author :
Yahya, Ali Abullah ; Tan, Jieqing
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
fYear :
2012
fDate :
23-25 Nov. 2012
Firstpage :
46
Lastpage :
51
Abstract :
In this paper a novel denoising algorithm based on partial differential equation variational approach is proposed. The proposed algorithm is obtained by weighted combinations of the an isotropic diffusion model and total variation model. Experimental results show that our new approach is more efficient in image denoising than both an isotropic diffusion and total variation in terms of preserving edges information and texture features.
Keywords :
feature extraction; image denoising; image texture; edge information preservation; image denoising algorithm; image features; isotropic diffusion model; partial differential equation variational approach; texture feature preservation; total variation model; Anisotropic magnetoresistance; Image edge detection; Mathematical model; Noise reduction; PSNR; TV; Image features; PM model; Partial Differential Equation (PDE); TV model; Variational method; Weight function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Home (ICDH), 2012 Fourth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1348-3
Type :
conf
DOI :
10.1109/ICDH.2012.36
Filename :
6376382
Link To Document :
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