Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing

Tensorflow implementation of conditional variational auto-encoder for MNIST

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

Benchmarking Denoising Algorithms with Real Photographs

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".

It is a Java implementation of underwater images and videos enhancement by fusion

Bayesian Collaborative Denoiser for Monte Carlo Rendering

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

A deep learning approach for stripe noise removal

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.

Compressed sensing and denoising of images using sparse representations

Denoising medical images using AutoEncoders

These are a set of scripts to train a deep learning based SAR image despeckling method.

Covariance Estimation and Denoising for Cryo-EM Images (Covariance Wiener Filtering)

Non local means filter for ImageJ

Wavelets with adaptive recursive partitioning

Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.