Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
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Updated
Dec 22, 2023 - C
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".
Bayesian Collaborative Denoiser for Monte Carlo Rendering
It is a Java implementation of underwater images and videos enhancement by fusion
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
Compressed sensing and denoising of images using sparse representations
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.
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)
Wavelets with adaptive recursive partitioning
Non local means filter for ImageJ
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.
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