24 August 2017 Non-convex Shannon entropy for photon-limited imaging
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Proceedings Volume 10394, Wavelets and Sparsity XVII; 103940L (2017); doi: 10.1117/12.2274466
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
Abstract
Reconstructing high-dimensional sparse signals from low-dimensional low-count photon observations is a challenging nonlinear optimization problem. In this paper, we build upon previous work on minimizing the Poisson log-likelihood and incorporate recent work on the generalized nonconvex Shannon entropy function for promoting sparsity in solutions. We explore the effectiveness of the proposed approach using numerical experiments.
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Lasith Adhikari, Reheman Baikejiang, Omar DeGuchy, Roummel F. Marcia, "Non-convex Shannon entropy for photon-limited imaging", Proc. SPIE 10394, Wavelets and Sparsity XVII, 103940L (24 August 2017); doi: 10.1117/12.2274466; http://dx.doi.org/10.1117/12.2274466
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KEYWORDS
Image information entropy

Signal detection

Astronomy

Cameras

Compressed sensing

Image sensors

Night vision

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