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Optical Engineering • Open Access

Iterative adaptive hybrid image restoration for fast convergence
Author(s): Min-Cheol Hong

Paper Abstract

We present an iterative adaptive hybrid image restoration algorithm for fast convergence. The local variance, mean, and maximum values are used to constrain the solution space. These parameters are computed at each iteration step using a partially restored image at each iteration, and they are used to impose the degree of local smoothness on the solution. The resulting iterative algorithm exhibits increased convergence speed and better performance than typical regularized constrained least-squares approach.

Paper Details

Date Published: 1 August 2010
PDF: 3 pages
Opt. Eng. 49(8) 080503 doi: 10.1117/1.3479935
Published in: Optical Engineering Volume 49, Issue 8
Show Author Affiliations
Min-Cheol Hong, Soongsil Univ. (Korea, Republic of)

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