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Single Frame Deblurring with Laplacian Filters

2020/09/17 by Baran Ataman, Ataman, Baran, Esin Guldogan +1
Computer Science · #Advanced Image Processing Techniques #Image and Signal Denoising Methods #Advanced Vision and Imaging

paper · pdf · doi:10.48550/arxiv.2009.08182

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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