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
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;
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2011 7th Iranian
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-1533-4
DOI :
10.1109/IranianMVIP.2011.6121547
