Andy25-4's repositories
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
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