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1shot-maxpol

Natural Image Deconvolution (Static Blur)

awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

cp-als-qr-svd

Uses QR and SVD to solve for the CP-decomposition of a tensor in the CP-ALS algorithm for improved numerical stability

frequency-domain-blind-source-separation

graph-based-blind-image-deblurring

This code is the upgraded implementation of TIP paper "Graph-based Blind Image Deblurring from a Single Photograph".

imfeatbox

Image Feature Extraction and Analyzation Toolbox

ircnn

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

multilinearpca

MPCA: Multilinear Principal Component Analysis of Tensor Data

mvntf

The code of Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery

opence

Contrast Enhancement Techniques for low-light images

ostd

Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences

qrpbb-method-for-nmf

A Matlab implementation of the quadratic regularization projected Barzilai–Borwein method for nonnegative matrix factorization.

robust-manifold-denoising-

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 distances, or the Tensor Voting Graph [3] . Then it performs denoising using a modified version of the recently proposed MFD algorithm[1]. The MFD algorithm uses the Spectral Graph Wavelet (SGW) transform in order to perform denoising directly in the spectral graph wavelet domain. Main function - Main_Demo provides an example of running our algorithm

twsc-eccv2018

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

vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB