Research on a maximum likelihood method for space-variant coded image deblurring

Details Research on a maximum likelihood method for space-variant coded image deblurring Research on a maximum likelihood method for space-variant coded image deblurring

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010nimpa.613..141z&link_type=abstract

Nuclear Instruments and Methods in Physics Research Section A, Volume 613, Issue 1, p. 141-144.

Physics

Scientific paper

Coded imaging is an important technique in high energy physics, astronomy and many other areas. However, popular image reconstruction methods are not ideal for space-invariant systems, which badly restricts their application. In this paper, we propose a method based on the maximum-likelihood method that performs image reconstruction on coded images with general space-variant degradation. A universal space-variant model is adopted, and the maximum-likelihood method is applied to a Gaussian stochastic noise model to derive an iterative deblurring formula. In practice, this method shows fine smoothness, convergence and good performance for strongly space-variant reconstructions.

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