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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 1–50 of 70 papers

TitleStatusHype
Blind Image Deblurring with Unknown Kernel Size and Substantial NoiseCode4
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light ConditionsCode1
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image DeblurringCode1
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion RestorationCode1
Raw Image DeblurringCode1
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolutionCode1
End-to-end Interpretable Learning of Non-blind Image DeblurringCode1
Explore Image Deblurring via Encoded Blur Kernel SpaceCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
Explore Image Deblurring via Blur Kernel SpaceCode1
Blind Image Deblurring Using Row-Column Sparse Representations—0
Blind Image Deblurring via Reweighted Graph Total Variation—0
Blind Image Deblurring With Local Maximum Gradient Prior—0
Blind Image Deblurring With Outlier Handling—0
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems—0
Cascades of Regression Tree Fields for Image Restoration—0
Collaborative Blind Image Deblurring—0
Comparative Analysis of Non-Blind Deblurring Methods for Noisy Blurred Images—0
Deblurring Natural Image Using Super-Gaussian Fields—0
Deblurring using Analysis-Synthesis Networks Pair—0
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior—0
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring—0
A Deep Variational Bayesian Framework for Blind Image Deblurring—0
Deep Algorithm Unrolling for Blind Image Deblurring—0
An Algorithm Unrolling Approach to Deep Image Deblurring—0
An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring—0
Blind Image Deblurring: a Review—0
Blind Image Deblurring based on Kernel Mixture—0
Blind Image Deblurring by Spectral Properties of Convolution Operators—0
Blind image deblurring using class-adapted image priors—0
Blind Image Deblurring Using Dark Channel Prior—0
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems—0
Scale Adaptive Blind Deblurring—0
Select Good Regions for Deblurring based on Convolutional Neural Networks—0
Self-Paced Kernel Estimation for Robust Blind Image Deblurring—0
Self-Supervised Multi-Scale Network for Blind Image Deblurring via Alternating Optimization—0
Semi-Blind Image Deblurring Based on Framelet Prior—0
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior—0
Unsupervised Blind Image Deblurring Based on Self-Enhancement—0
A Comprehensive Survey on Deep Neural Image Deblurring—0
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring—0
Graph-Based Blind Image Deblurring From a Single Photograph—0
Image Restoration from Parametric Transformations using Generative Models—0
Kernel Estimation from Salient Structure for Robust Motion Deblurring—0
Learning a Discriminative Prior for Blind Image Deblurring—0
Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond—0
Learning Discriminative Data Fitting Functions for Blind Image Deblurring—0
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring—0
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