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
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Updated
Jul 19, 2018 - Python
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
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
This code provides a solution for digital image authentication, tamper localization, and content recovery using fragile watermarking.
Image recovery algorithms, implemented in Rust.
Recovering Microscopic Images in Material Science Documents by Image Inpainting
A program that recovers deleted JPEG images from a .raw file.
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