NBD-GLRA
Deconvolution algorithm
A MATLAB implementation of a deep learning-based deconvolution algorithm using generalized low-rank approximation for image restoration.
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
22 stars
2 watching
3 forks
Language: MATLAB
last commit: over 7 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 meiguangjin/nbd | This repository provides MATLAB implementations of algorithms for removing blurring effects from images. | 17 |
 minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
 siavashbigdeli/dmsp | A MATLAB implementation of an image restoration algorithm based on a deep mean-shift prior | 33 |
 ysnan/nbd_kerunc | A repository providing pre-trained models and results for image deconvolution in the presence of kernel/model uncertainty | 14 |
 deepmed-lab-ecnu/deeprft-aaai2023 | An image deblurring technique based on frequency selection using machine learning models | 18 |
 gbredell/w_dip | This project presents a method to improve the stability and performance of unsupervised blind image deconvolution using Wiener guidance. | 13 |
 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 |
 hyeongseokson1/cnn_deconvolution | An implementation of a CNN-based method for non-blind deconvolution using Wiener filtering as a pre-processing step. | 22 |
| ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
 dong-huo/vdip-deconvolution | A method for blind image deconvolution using variational deep image prior. | 13 |
 cuiyixin555/lmg | A MATLAB implementation of an image deblurring algorithm using local maximum gradient prior | 16 |
 nvlabs/snn | An image denoising algorithm implementing a statistical approach to improve traditional methods | 42 |
 csbhr/cdvd-tsp | A video deblurring algorithm based on temporal sharpness prior using deep learning and cascaded inference process. | 261 |
| rwenqi/3dfacedeblurring | A method for deblurring face videos by leveraging 3D facial priors to account for facial structure and identity information. | 42 |
 sollynoay/mmp-rnn | This project provides a deep learning-based method to estimate blur levels and deblur videos using motion magnitude | 40 |