DocumentCode :
2911706
Title :
An Adaptive Short Time Beltrami Kernel for Image De-Noising
Author :
Vafaee, Reza ; Hakimi, Ahmad ; Saryazdi, Saeid
Author_Institution :
Dept. of Electr. Eng., Shahid Bahonar Univ. of Kerman, Kerman, Iran
fYear :
2011
fDate :
16-17 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Short time Beltrami kernel is a well known method for image de-noising using diffusion on image manifold. In this paper we propose an adaptive short time Beltrami. In the proposed method we adapt an effective parameter in Beltrami algorithm according to local variance of image. To evaluate the performance of the proposed method, several comparative experiments are performed. The obtained results confirm the efficiency of the proposed method.
Keywords :
image denoising; Beltrami algorithm; adaptive short time Beltrami kernel; image denoising; image diffusion; image local variance; image manifold; Image denoising; Image edge detection; Kernel; Manifolds; Noise measurement; PSNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2011 7th Iranian
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-1533-4
Type :
conf
DOI :
10.1109/IranianMVIP.2011.6121567
Filename :
6121567
Link To Document :
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