This implementation uses python to seamlessly integrate Sentinel-1 SAR image preparation in GEE with deep learning in Tensorflow for SAR image despeckling.

PyTorch implementation of Expected Patch Log Likelihood (EPLL) image prior in paper "D. Zoran and Y. Weiss, "From learning models of natural image patches to whole image restoration," ICCV 2011.

ADNet Implementation using Tensorflow

ML and DL projects to solve business problems

labs for a University course

Patch-based approaches such as Block Matching and 3D collaborative Filtering (BM3D) algorithm represent the current state-of-the-art in image denoising. However, BM3D still suffers from degradation in performance in smooth areas as well as loss of image details, specifically in the presence of high noise levels. Integrating shape adaptive method…

RGB Image denoising using AutoEncoder, Principal Component Analysis (PCA), and Neural Network (NN) as input layers. The goal is to compare their performance and present comprehensive results.

This is assignment 2 of Ecse 316 for 2/29/2020 Winter of 2020