IRCNN
Image Restoration Library
This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods.
Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)
602 stars
33 watching
172 forks
Language: MATLAB
last commit: over 3 years ago
Linked from 2 awesome lists
color-demosaickingdeep-modelimage-deblurringimage-denoisingimage-inpaintingimage-restorationsingle-image-super-resolution
Related projects:
Repository | Description | Stars |
---|---|---|
| Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
| Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 |
| A deep learning model designed to progressively restore degraded images by iteratively refining the degradation and its representation in the image | 1,197 |
| Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
| A deep learning-based method to improve image quality by reducing blur effects | 839 |
| A software framework for single image deblurring using recursive kernels | 14 |
| An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. | 102 |
| This project controls vision-language models to restore degraded images in various environments and conditions. | 673 |
| Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
| A deep learning-based approach to super-resolution of degraded images. | 1,222 |
| An implementation of a CNN-based method for non-blind deconvolution using Wiener filtering as a pre-processing step. | 22 |
| This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
| Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
| Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework | 176 |
| An implementation of a deep learning model for deblurring images affected by defocus. | 58 |