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arXiv · 2110.15314

Photon Limited Non-Blind Deblurring Using Algorithm Unrolling

Yash Sanghvi·Abhiram Gnanasambandam·Stanley H. Chan
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Abstract

Image deblurring in photon-limited conditions is ubiquitous in a variety of low-light applications such as photography, microscopy, and astronomy. However, the presence of photon shot noise due to low illumination and/or short exposure makes the deblurring task substantially more challenging than the conventional deblurring problems. In this paper, we present an algorithm unrolling approach for the photon-limited deblurring problem by unrolling a Plug-and-Play algorithm for a fixed number of iterations. By introducing a three-operator splitting formation of the Plug-and-Play framework, we obtain a series of differentiable steps which allows the fixed iteration unrolled network to be trained end-to-end. The proposed algorithm demonstrates significantly better image recovery compared to existing state-of-the-art deblurring approaches. We also present a new photon-limited deblurring dataset for evaluating the performance of algorithms.

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Yash Sanghvi, Abhiram Gnanasambandam, Stanley H. Chan. 2021-10-28. Photon Limited Non-Blind Deblurring Using Algorithm Unrolling. https://arxiv.org/abs/2110.15314

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