Project

Overview

Worked in a group to implement image compression and reconstruction of simple images from the MNIST dataset using a Matrix Completion technique called Alternating Leasting Squares. Implemented methods using the Least Squares problem to train new compression matrices from new images. Utilized total variation denoising for postprocessing to make reconstructed images look more sharp.