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Blind Image Deblurring

Blind Image Deblurring is a classical problem in image processing and computer vision, which aims to recover a latent image from a blurred input.

Source: Learning a Discriminative Prior for Blind Image Deblurring

Papers

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Showing 21–30 of 70 papers

TitleStatusHype
Blind Image Deblurring Using Row-Column Sparse Representations—0
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior—0
Deblurring using Analysis-Synthesis Networks Pair—0
Deblurring Natural Image Using Super-Gaussian Fields—0
Blind Image Deblurring Using Dark Channel Prior—0
An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring—0
Comparative Analysis of Non-Blind Deblurring Methods for Noisy Blurred Images—0
Collaborative Blind Image Deblurring—0
Blind image deblurring using class-adapted image priors—0
Cascades of Regression Tree Fields for Image Restoration—0
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