Joint deconvolution and imaging

Hyrum S. Anderson; Maya R. Gupta

doi:10.1117/12.816444

2 February 2009 Joint deconvolution and imaging

Hyrum S. Anderson; Maya R. Gupta

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Proceedings Volume 7246, Computational Imaging VII; 72460C (2009) https://doi.org/10.1117/12.816444
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

We investigate a Wiener fusion method to optimally combine multiple estimates for the problem of image deblurring given a known blur and a corpus of sharper training images. Nearest-neighbor estimation of high frequency information from training images is fused with a standard Wiener deconvolution estimate. Results show an improvement in sharpness and decreased artifacts compared to either the standard Wiener filter or the nearest-neighbor reconstruction.

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Hyrum S. Anderson, Hyrum S. Anderson, Maya R. Gupta, Maya R. Gupta, } "Joint deconvolution and imaging", Proc. SPIE 7246, Computational Imaging VII, 72460C (2 February 2009); doi: 10.1117/12.816444; https://doi.org/10.1117/12.816444

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