Single Frame Deblurring with Laplacian Filters

Baran Ataman; Esin Guldogan

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arXiv · 2009.08182

Single Frame Deblurring with Laplacian Filters

Baran Ataman·Esin Guldogan

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Abstract

Blind single image deblurring has been a challenge over many decades due to the ill-posed nature of the problem. In this paper, we propose a single-frame blind deblurring solution with the aid of Laplacian filters. Utilized Residual Dense Network has proven its strengths in superresolution task, thus we selected it as a baseline architecture. We evaluated the proposed solution with state-of-art DNN methods on a benchmark dataset. The proposed method shows significant improvement in image quality measured objectively and subjectively.

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Baran Ataman, Esin Guldogan. 2020-09-17. Single Frame Deblurring with Laplacian Filters. https://arxiv.org/abs/2009.08182

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