Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

Panoramic robust PCA for foreground-background separation on noisy, free-motion camera video

Source code of "A Single Model CNN for Hyperspectral Image Denoising"

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"

The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"

Compressed sensing and denoising of images using sparse representations

Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.

A Low-rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising.

This is a point cloud denoiser using Weighted Locally Optimal Projection

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

This is a very simple denoising code for seismic data. It contains two different basic thresholding functions and works in continuous wavelet domain.

ASPP: Binaural Speech Enhancement with Atomic Speech Presence Probability Estimation

GEDAI denoising plugin for the EEGLAB toolbox

Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation

This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.

MATLAB implementation of sparsity-assisted signal denoising and pattern recognition in time-series data

This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an affinity graph and perform denoising on a set of N input points in R^n. Given an input set of points in any arbitrary dimension, an affinity graph is first created based on Tensor Voting, Local PCA or Euclidean …

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

This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"