DocumentCode
2911396
Title
A Denoising Algorithm Based on PDE Variational Approach Using PM Potential
Author
Rafsanjani, Hossein Khodabakhshi ; Saryazdi, Saeid ; Zeinali, Mohammad Hossein ; Pourgholamali, Mohammad
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
In this paper a new denoising algorithm based on PDE variational approach is proposed. The proposed algorithm uses the PM potential instead of the total variation norm in the ROF scheme. It utilizes both advantages of the traditional ROF and PM methods. The proposed algorithm reduces the isolated points of the PM and the staircasing effect of the ROF algorithms. To evaluate the proposed algorithm several experiments are performed which confirm the high performance of the proposed algorithm.
Keywords
image denoising; partial differential equations; PDE variational approach; PM potential; ROF scheme; denoising algorithm; image denoising; partial differential equation; staircasing effect; Image denoising; Image edge detection; Noise measurement; Noise reduction; PSNR; Signal processing algorithms;
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.2011.6121547
Filename
6121547
Link To Document