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image-superresolution

Resolution enhancement of tri-stereo remote sensing images by super resolution methods

image_analysis_matlab

Implementations of different matlab functions for research in hyperspectral data.

impulse-noise-classification

impulse_noise

matlab scripts to remove intense impulse noise from grey scale images

inductive-matrix-completion

we proposed a type of inductive matrix completion with trace norm regularizer, and presented two practical method for solving trace norm based IMC optimization problem. Using two different tasks and four different benchmark tasks, We showed the max-norm can often be superior to established trace-norm regularization.

inductive-mc

A non-convex algorithm for inductive matrix completion

infaceextendedfw-matrixcompletion

An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion

inverse_problems

Inverse Problems in Medical Imaging (UCL course)

iot-localization-with-matrix-completion-and-semidefinite-programming-

Two-step algorithm for accurate localization of static nodes in the IoT networks, consisting of the recovery of incomplete range measurement matrix based on low-rank matrix completion, and node positioning by semi-definite programming

irtpcacode

The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.

isrs_cpm

jars-spie_2020_kmedoids

Convex geometry and K-medoids based noise-robust endmember extraction algorithm

jmlsacr

Collaborative Representation Based on Metric Learning and Local Enhancement for Hyperspectral Image Classification

jsacr

Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)

kbsnmf

Kurtosis-based Smooth NMF for Hyperspectral Unmixing

kcs-gsr

Group Sparse Representation for Kronecker Compressive Sensing, Image Process. Image Under. (IPIU) 2016

kmeans

This project implements the K-Means algorithm for unsupervised classification. It specifically groups the colors of an image into color means, an application of which would be image compression.

kronecker-based-cs-recovery

Kronecker technique for improving quality of the signal in compressive sensing recovery

ktsvd

Multidimensional Dictionary Learning

l0denoising

Implementation of the paper "Mesh Denoising via L0 Optimization"

l1tuckerdecomposition

This repository contains alternating optimization algorithms for L1-norm tucker decomposition

lakemonitoring

Satellite Remote Sensing Technology for Lake Monitoring

laplacianregularizationhyper

This demo reproduces the results reported in the paper "A Graph Laplacian regularization for Hyperspectral data unmixing" - ICASSP 2015

lasso-spectral-unmixing

This code implements sparsity-regularized spectral unmixing of hyperspectral images

lcpttc-code

life-long-matrix-completion

MATLAB code for NIPS 2016 paper "Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling"

link-prediction-via-matrix-completion

Link prediction via matrix completion (published in EPL, (2017): 38002)

lis-deeplearning

Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

logdet

low-level-vision-zoo

A low-level vision zoo for dehazing, deblurring, denoising, deraining, inpainting, color enhancement, brightening, and super resolution .