My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

Recovery of images from few pixels

Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019

This code provides a solution for digital image authentication, tamper localization, and content recovery using fragile watermarking.

A brief investigation on the capabilities of Robust PCA through Principal Component Pursuit to recover corrupted images

Python implementation of optimization methods for inverse problems in imaging.

This program recovers image files, specifically JPEGs, from a forensic image.

🖼️ C algorithm that finds and restores deleted JPGs on a memory card

Image recovery algorithms, implemented in Rust.

A program that recovers deleted JPEG images from a .raw file.

Recovering Microscopic Images in Material Science Documents by Image Inpainting