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Image Deconvolution

7 papers with code · Computer Vision

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Modular proximal optimization for multidimensional total-variation regularization

3 Nov 2014albarji/proxTV

We study \emph{TV regularization}, a widely used technique for eliciting structured sparsity.

IMAGE DECONVOLUTION IMAGE DENOISING VIDEO DENOISING

Simultaneous Fidelity and Regularization Learning for Image Restoration

12 Apr 2018csdwren/sfarl

For blind deconvolution, as estimation error of blur kernel is usually introduced, the subsequent non-blind deconvolution process does not restore the latent image well.

DENOISING IMAGE DECONVOLUTION IMAGE RESTORATION

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems

ICCV 2017 tum-vision/learn_prox_ops

While variational methods have been among the most powerful tools for solving linear inverse problems in imaging, deep (convolutional) neural networks have recently taken the lead in many challenging benchmarks.

DEMOSAICKING DENOISING IMAGE DECONVOLUTION

Blind Image Deconvolution using Deep Generative Priors

12 Feb 2018axium/Blind-Image-Deconvolution-using-Deep-Generative-Priors

This paper proposes a novel approach to regularize the \textit{ill-posed} and \textit{non-linear} blind image deconvolution (blind deblurring) using deep generative networks as priors.

DEBLURRING IMAGE DECONVOLUTION

Learning Deep Gradient Descent Optimization for Image Deconvolution

10 Apr 2018donggong1/learn-optimizer-rgdn

Extensive experiments on synthetic benchmarks and challenging real-world images demonstrate that the proposed deep optimization method is effective and robust to produce favorable results as well as practical for real-world image deblurring applications.

BLIND IMAGE DEBLURRING IMAGE DECONVOLUTION

A Framework for Fast Image Deconvolution with Incomplete Observations

3 Feb 2016alfaiate/DeconvolutionIncompleteObs

In this paper, we propose a new deconvolution framework for images with incomplete observations that allows us to work with diagonalized convolution operators, and therefore is very fast.

DEMOSAICKING IMAGE DECONVOLUTION