1 February 2007 Fast edge-preserving image restoration based on phase information
Kun Zhang, Tianxu Zhang, Chengjian He, Biyin Zhang, Luxin Yan
Author Affiliations +
Abstract
We propose a fast method for linearizing the edge-preserving regularization. The regularization operator is decomposed to the sum of some linear operators. The phase-only image is used in place of the estimated image. Those linear operators are computed from the phase-only image. They are the approximation of the true regularization operator. The new discontinuity maps do not need to be computed from the last image estimate at every step of the algorithm. This fast method can reduce much algorithm processing time.
©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Kun Zhang, Tianxu Zhang, Chengjian He, Biyin Zhang, and Luxin Yan "Fast edge-preserving image restoration based on phase information," Optical Engineering 46(2), 027003 (1 February 2007). https://doi.org/10.1117/1.2710175
Published: 1 February 2007
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KEYWORDS
Image restoration

Image analysis

Signal to noise ratio

Point spread functions

Reconstruction algorithms

Evolutionary algorithms

Image quality

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