Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.

Using CNN to de noise images.

National Taiwan Normal University 2020 Autumn - 1091 Advanced Image Processing Course Homework.

Develop a simulation platform1 for a BPSK, 4QAM, 8PSK and 16QAM communication system transmitting information over an additive white Gaussian noise (AWGN) channel.