fourier-deconvolution-network

Image deconvolution library

A software project that provides an implementation of Fourier deconvolution for image restoration using a neural network

Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)

GitHub

37 stars
7 watching
14 forks
Language: Jupyter Notebook
last commit: about 7 years ago

Related projects:

Repository Description Stars
hyeongseokson1/cnn_deconvolution An implementation of a CNN-based method for non-blind deconvolution using Wiener filtering as a pre-processing step. 22
cszn/srmd Develops a single convolutional network to handle various image degradations with improved scalability and efficiency 427
cszn/ircnn This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. 602
gbredell/w_dip This project presents a method to improve the stability and performance of unsupervised blind image deconvolution using Wiener guidance. 13
ysnan/nbd_kerunc A repository providing pre-trained models and results for image deconvolution in the presence of kernel/model uncertainty 14
uschmidt83/shrinkage-fields A collection of MATLAB functions for image restoration and deconvolution using shrinkage fields 36
rwenqi/nbd-glra A MATLAB implementation of a deep learning-based deconvolution algorithm using generalized low-rank approximation for image restoration. 22
donggong1/learn-optimizer-rgdn An implementation of deep learning-based optimization method for image deconvolution, which improves the quality of blurry images by generating new blur kernels. 32
meiguangjin/nbd This repository provides MATLAB implementations of algorithms for removing blurring effects from images. 17
tobybreckon/solomon-breckon-book A collection of Matlab scripts and resources for learning digital image processing concepts 43
invokerer/deeprft Deblurring technique using deep learning and Fourier transformation to remove image blur 248
dong-huo/vdip-deconvolution A method for blind image deconvolution using variational deep image prior. 13
cszcwu/nrknet A software framework for single image deblurring using recursive kernels 14
filipradenovic/cnnimageretrieval This MATLAB toolbox trains and tests convolutional neural networks for image retrieval tasks, including fine-tuning and supervised whitening. 188
subeeshvasu/2018_subeesh_nbd_cvpr Provides results and tools for image deblurring using CNNs to handle kernel uncertainty 5