cvpr17_iter_deblur_testing_matconvnet
Deblurring test suite
A testing package for evaluating an image deblurring algorithm using a neural network architecture
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution[testing][matconvnet]
9 stars
0 watching
2 forks
Language: Matlab
last commit: over 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
zhjwustc/cvpr18_rnn_deblur_matcaffe | Dynamic scene deblurring using spatially variant recurrent neural networks. | 39 |
csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
hdcvlab/mc-blur-dataset | A comprehensive benchmark dataset for image deblurring | 25 |
invokerer/deeprft | Develops deep learning-based methods for removing blur and defocus from images | 244 |
minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 162 |
ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 227 |
joanshen0508/ha_deblur | A dataset and algorithm for deblurring images of moving scenes, specifically designed to handle dynamic blurs caused by camera movement and object motion. | 72 |
lingyanruan/drbnet | An implementation of an image deblurring algorithm using light field technology and deep learning techniques. | 109 |
chosj95/mimo-unet | Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 373 |
fwen/deblur-pmp | Reproduces blind image deblurring results using an improved algorithm | 85 |
limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 261 |
cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 600 |
deepmed-lab-ecnu/deeprft-aaai2023 | A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality | 18 |
cszcwu/nrknet | Deblurring software for correcting image defects caused by camera defocus | 14 |