Eigen-CNN: A fast hyperspectral image denoising network

Eigen-CNN is a Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising developed in Matlab

%% The code and data herein distributed reproduces the results published in

% the paper

%

% Lina Zhuang, Michael K. Ng, Lianru Gao, and Zhicheng Wang,

% "Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for

% Hyperspectral Image Denoising,"

% IEEE Transactions on Geoscience and Remote Sensing (2024).

%

% URL: https://ieeexplore.ieee.org/abstract/document/10475370

%

%% Notes:

%

% 1) Package instalation: unzip the files to a directory and run the

% script of "main_runEigenCNN.m", which reproduce the

% results of Eigen-CNN reported in above paper.

%

%

% 2) MatConvNet toolbox must be installed before running this demo.

% MatConvNet is an implementation of Convolutional Neural Networks

% (CNNs) for MATLAB. The MatConvNet package is available at the

% matconvnet web page:

% https://github.com/vlfeat/matconvnet?tab=readme-ov-file

%

%

% 3) EigenCNN.m FastHyIn.m script implents the respective algorithm.

%

%% ACKNOWLEDGMENTS

%

% The authors acknowledge the following individuals and organisations:

%

%

% - Prof. Paolo Gamba from Pavia university,

% for making the Pavia Centre data set available to the community.

%

% - Prof. David Landgrebe and Larry Biehl from Purdue University,

% for making the Washington DC Mall data set available to the community.

%

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% Author: Lina Zhuang, Sep. 2024

%