Iterative adaptive hybrid image restoration for fast convergence

Min-Cheol Hong

doi:10.1117/1.3479935

1 August 2010 Iterative adaptive hybrid image restoration for fast convergence

Min-Cheol Hong

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Optical Engineering, Vol. 49, Issue 8, 080503 (August 2010). https://doi.org/10.1117/1.3479935

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.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Min-Cheol Hong "Iterative adaptive hybrid image restoration for fast convergence," Optical Engineering 49(8), 080503 (1 August 2010). https://doi.org/10.1117/1.3479935

Published: 1 August 2010

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