image-denoising | : Code for the paper Denoising | Machine Learning library

image-denoising is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. image-denoising has no bugs, it has no vulnerabilities and it has low support. However image-denoising build file is not available. You can download it from GitHub.

This repository contains the code for our work on densoising high resolution images using deep learning paper. Present state-of-the-art methods like BM3D, KSVD and Non-local means do produce high quality denoised results. But when the size of image becomes very high, for ex. 4000 x 80000 pixels, those high quality results come at a cost of high computational time. This time consuming factor serves as a motivation to come up with a model that can provide comparable results, if not better, in much less time. So, I've used a deep learning approach that automatically tries to learn the function that maps a noisy image to its denoised version. I've used thenao as the deep learning framework, and have worked on the publicly available codes provided by the MILA Lab.