SMOSLG Algorithm for Digital Image Restoration


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 12, pp. 3694-3702, Dec. 1999
10.3745/KIPSTE.1999.6.12.3694,   PDF Download:

Abstract

OSL algorithm has an advantage that repeated algorithm is easily derived, even though penalty function which has a complicated transcendental function. In order to solve this problem, we suggested MPEMG algorithm. However, though this algorithm extend convergence rate of smoothing constant, it include the problem that is not faster than OSL algorithm in the convergence rate increasing penalized log-likelihood. Accordingly, in this paper, we will suggest SMOSLG digital image restoration algorithm which is fast in the convergence rate as well as extend convergence region of smoothing constant. And also we will study the usefulness of algorithm suggested through digital image simulation.


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Cite this article
[IEEE Style]
M. K. Song and J. K. Yum, "SMOSLG Algorithm for Digital Image Restoration," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 12, pp. 3694-3702, 1999. DOI: 10.3745/KIPSTE.1999.6.12.3694.

[ACM Style]
Min Koo Song and Joon Keun Yum. 1999. SMOSLG Algorithm for Digital Image Restoration. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 12, (1999), 3694-3702. DOI: 10.3745/KIPSTE.1999.6.12.3694.