A Mixed Norm Image Restoration Algorithm Using Multi Regularization Parameters 


Vol. 32,  No. 11, pp. 1073-1078, Nov.  2007


PDF
  Abstract

In this paper, we propose an iterative mixed norm image restoration algorithm using multi regularization parameters. A functional which combines the regularized ℓ₂ norm functional and the regularized ℓ₄ norm functional is proposed to efficiently remove arbitrary noise. The smoothness of each functional is determined by the regularization parameters. Also, a regularization parameter is used to determine the relative importance between the regularized ℓ₂ norm functional and the regularized ℓ₄ norm functional using kurtosis. An iterative algorithm is utilized for obtaining a solution and its convergence is analyzed. Experimental results demonstrate the capability of the proposed algorithm.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Y. Choi, M. Kim, M. Hong, "A Mixed Norm Image Restoration Algorithm Using Multi Regularization Parameters," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 11, pp. 1073-1078, 2007. DOI: .

[ACM Style]

Kwon Yul Choi, Myoung-Jin Kim, and Min-Cheol Hong. 2007. A Mixed Norm Image Restoration Algorithm Using Multi Regularization Parameters. The Journal of Korean Institute of Communications and Information Sciences, 32, 11, (2007), 1073-1078. DOI: .

[KICS Style]

Kwon Yul Choi, Myoung-Jin Kim, Min-Cheol Hong, "A Mixed Norm Image Restoration Algorithm Using Multi Regularization Parameters," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 11, pp. 1073-1078, 11. 2007.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880