NonUniformBlurKernelEstimation
Blur remover
Estimates blur kernels from images to remove motion blur
Code associated with arXiv paper Non-uniform Motion Blur Kernel Estimation via Adaptive Decomposition.
42 stars
3 watching
6 forks
Language: Python
last commit: over 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| An image deblurring method using encoded blur kernel space | 151 |
| An image processing project implementing edge-based defocus blur estimation with adaptive scale selection | 18 |
| Develops an algorithm to remove motion blur from images using phase-only image-based kernel estimation | 28 |
| Improving semantic segmentation robustness to motion blur using custom data augmentation techniques | 6 |
| A dataset and algorithm for deblurring images of moving scenes, specifically designed to handle dynamic blurs caused by camera movement and object motion. | 72 |
| Develops a deep learning-based method to detect and remove defocus blur from images | 17 |
| This project provides a PyTorch implementation of a blind image super-resolution model using space-variant blur estimation. | 9 |
| Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 |
| Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
| Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
| A system that jointly learns 3D representation and camera motion from blurry images to generate sharp images | 192 |
| A MATLAB implementation of blind image deblurring from a single photograph using graph-based methods. | 33 |
| A comprehensive benchmark dataset for image deblurring | 28 |
| This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
| An image deblurring algorithm that leverages flow-based motion prior and kernel estimation for blind image restoration. | 29 |