A Study of Digital Image Restoration for Modified PEM Gradient Algorithm


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 1, pp. 313-320, Jan. 2000
10.3745/KIPSTE.2000.7.1.313,   PDF Download:

Abstract

PEM algorithm cannot expend repeated algorithm, if penalty function is transcendental function. However, OSL algorithm has an advantage that repeated algorithm is easily derived, even though penalty function which has a complicated transcendental function. In spite of this advantage, this algorithm is restricted in convergence region of smoothing constant which increase penalized log-likelihood, so we cannot get the optimal image restoration because it cannot provide us with a various smoothing constant value for the digital image restoration. In this paper, in order to resolve the disadvantage of OSL algorithm, we would like to suggest the algorithm with smoothing constant enlarge the tolerance limit range of convergence and to find not only properties of its convergence but also usefulness of suggested algorithm through digital image simulation.


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Cite this article
[IEEE Style]
M. K. Song, "A Study of Digital Image Restoration for Modified PEM Gradient Algorithm," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 1, pp. 313-320, 2000. DOI: 10.3745/KIPSTE.2000.7.1.313.

[ACM Style]
Min Koo Song. 2000. A Study of Digital Image Restoration for Modified PEM Gradient Algorithm. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 1, (2000), 313-320. DOI: 10.3745/KIPSTE.2000.7.1.313.