Sparse-SIM
Image restoration framework
An image restoration framework for fluorescence microscopy using sparse deconvolution
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
77 stars
4 watching
13 forks
Language: MATLAB
last commit: about 1 year ago
Linked from 1 awesome list
deconvolutionfluorescence-microscopy-imagingimage-processingimage-restorationmatlab-guimicroscopysuper-resolution
Related projects:
Repository | Description | Stars |
---|---|---|
| An image restoration framework using neural networks with interpretable and adaptive structure for diverse applications | 136 |
| A MATLAB implementation of an image restoration algorithm based on a deep mean-shift prior | 33 |
| Toolbox for improving digital images taken with fluorescence microscopy using deep learning algorithms | 287 |
| Restores night images by jointly denoising and deblurring captured long- and short-exposure images using a hierarchical network framework. | 74 |
| An image deblurring algorithm that leverages flow-based motion prior and kernel estimation for blind image restoration. | 29 |
| A MATLAB implementation of a deep learning-based deconvolution algorithm using generalized low-rank approximation for image restoration. | 22 |
| Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy | 81 |
| A deep learning-based image deblurring method designed to handle low-light conditions | 13 |
| This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
| A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. | 5 |
| A collection of MATLAB functions for image restoration and deconvolution using shrinkage fields | 36 |
| A software project that provides an implementation of Fourier deconvolution for image restoration using a neural network | 37 |
| Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |
| A collection of image processing algorithms implemented in MATLAB | 45 |
| Image restoration software using stochastic differential equations | 593 |