This repository contains the MATLAB code for the paper Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior.

All test data are available at this link on Google Drive.

Figure 1. Reconstruction process of the hyperspectral image for scenario S3 as described in the corresponding paper.

Figure 2. Reconstruction process of the hyperspectral image for scenario S4 as described in the corresponding paper.

0. Requirements are MATLAB(R) with Parallel Computing Toolbox (parfor for multi-CPU acceleration).
1. Download this repository via git

git clone https://github.com/sdnjyxr/NLRT

3. Test the NLRT algorithm via

NLRT.m

The testing environment utilizes MATLAB(R) R2023a on Ubuntu 22.10, equipped with an Intel® Xeon® w7-2495X × 48 processor and 256 GB RAM. It is compatible with any system running MATLAB(R) and Parallel Computing Toolbox, including Windows(R), Linux, or Mac OS. GPU is not required for running this code.