shrinkage-fields
Image Restoration Tools
A collection of MATLAB functions for image restoration and deconvolution using shrinkage fields
Code for CVPR 2014 paper "Shrinkage Fields for Effective Image Restoration" (Uwe Schmidt and Stefan Roth)
36 stars
4 watching
19 forks
Language: Matlab
last commit: over 10 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 swz30/restormer | Proposes an efficient neural architecture model for high-resolution image restoration tasks | 1,845 |
 xlearning-scu/2022-cvpr-airnet | Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework | 176 |
 cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
| swz30/mprnet | A deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image | 1,197 |
 siavashbigdeli/dmsp | A MATLAB implementation of an image restoration algorithm based on a deep mean-shift prior | 33 |
 mc-e/deep-generalized-unfolding-networks-for-image-restoration | An image restoration framework using neural networks with interpretable and adaptive structure for diverse applications | 136 |
| uschmidt83/fourier-deconvolution-network | A software project that provides an implementation of Fourier deconvolution for image restoration using a neural network | 37 |
 subeeshvasu/2018_subeesh_nbd_cvpr | Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 |
 zhendongwang6/uformer | An implementation of a deep learning model for restoring images in various conditions | 817 |
| cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
 algolzw/daclip-uir | This project controls vision-language models to restore degraded images in various environments and conditions. | 673 |
 xl-tang3/uaudeblur | Computes deblurred images from blurry ones using deep residual prior and uncertainty-aware approach | 57 |
 cdoersch/vae_tutorial | An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks | 503 |
| algolzw/image-restoration-sde | Image restoration software using stochastic differential equations | 593 |
 bychelsea/cmos | This project provides a PyTorch implementation of a blind image super-resolution model using space-variant blur estimation. | 9 |