DocumentCode
3030179
Title
An image denoising algorithm in the matrix form
Author
Wang, Wei ; Shi, Yuying
Author_Institution
Dept. of Math. & Phys., North China Electr. Power Univ., Beijing, China
fYear
2011
fDate
26-28 July 2011
Firstpage
176
Lastpage
179
Abstract
In this paper, the Crank-Nicholson semi-implicit difference scheme is applied to discrete the Rudin-Osher-Fatemi model which was proposed by Rudin et al. in 1992. The semi-implicit discrete scheme avoids the shortcomings of instability and many iterative numbers that the explicit discrete scheme has. We propose an image denoising algorithm in the matrix form. The experimental results show that the new matrix semi-explicit scheme is efficient.
Keywords
image denoising; matrix algebra; Crank-Nicholson semi-implicit difference scheme; Rudin-Osher-Fatemi model; explicit discrete scheme; image denoising algorithm; iterative numbers; matrix semi-explicit scheme; semi-implicit discrete scheme; Equations; Image denoising; Image restoration; Mathematical model; Noise reduction; Signal to noise ratio; denoising; matrix; the Crank-Nicholson difference scheme; the Rudin-Osher-Fatemi model;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002073
Filename
6002073
Link To Document