TOTAL VARIATION AND FRACTIONAL ORDER BASED MODEL FOR IMAGE RESTORATION | [Pakistan Journal of Science • 2019]

Author(s):

1. M.A. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

2. H. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

3. S. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

4. M. Ali: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

5. Z.H. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

6. S. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

7. J. Khan: University of Engineering and Technology,Mardan, Khyber Pakhtunkhwa,Pakistan

8. K. Khattak: University of Engineering and Technology,Peshawar, Khyber Pakhtunkhwa,Pakistan

Abstract:

This paper introduces a new fractional order based total variation model for the removal of multiplicative noise. The resultant Euler Lagrange partial differential equation (PDE) associated with minimization functional of FTV energy model is usually obtained for image restoration. The variational model minimization problem is achieved by the exploitation time marching scheme. These results of the proposed work clearly indicate that the model for multiplicative noise removal not only significantly removes the noise of multiplicative type but also it reduces the staircase effect more effectively than all other models previously reported for noise removal. The proposed model is good in image denoising and increases the peak signal to noise ratio compared with integer order based model and TV-based models.

Page(s): 241-245

DOI: DOI not available

Published: Journal: Pakistan Journal of Science, Volume: 71, Issue: 4S, Year: 2019

Keywords:

Total Variation TV , multiplicative noise , Fractional Order Derivative

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