Material from the course of Image Processing at ENSEM - Université de Lorraine.
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Updated
Dec 29, 2023 - MATLAB
Material from the course of Image Processing at ENSEM - Université de Lorraine.
[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
[ICCV23] Focal Network for Image Restoration
About me
Practical Compact Deep Compressed Sensing [PyTorch]
Blur Conversion for Unsupervised Image Deblurring (CVPR'24)
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
Repository for Digital Image Processing homework
Digital Image Processing - Image Processing using Python
A re-implementaion of Professor Stanley Chan's Plug and Play ADMM Paper created for Professor Qi Guo's machine learning class at Purdue University
POSTECH Institute of Artificial Intelligence Intern Program
Image restoration is the idea of recovering an original image from a degraded image, knowing the process of degradation beforehand. The recovered image is called the restored image. In this project, we degrade an image with a horizontal motion and then by different methods try to restore the image.
Finetuning pretrained model of Real-ESRGAN onto chest xrays (with and without pneumonia)
This repository is part of an ongoing personal project to understand and improve video/image restoration and processing.
Image Restoration with Deep Learning: A Comparison of Techniques
A single image deraining training and testing code with detailed explanations.
Position-Dependent Richardson-Lucy deconvolution
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
Official project page of our project "Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior". Have fun!
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