HyperSpectralDenois​ing.zip

Version 1.0.0.0 (1.45 MB) by Hemant Kumar Aggarwal
Impulse Noise Reduction from Hyperspectral Images
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Updated 18 Jun 2014

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This code contain two algorithms namely: General Synthesis Prior (GSP) and General Analysis Prior(GAP) for reducing impulse noise from hyperspectral images.
These algorithms utilizes both spatial and spectral correlation.
GSP algorithm uses Daubechies wavelet for spatial dimension and Fourier transform for vertical dimension.
GAP algorithm is based on total variation minimization.
SPARCO toolbox (freely available from : http://www.cs.ubc.ca/labs/scl/sparco/) is required to run the code.

Cite As

Hemant Kumar Aggarwal (2024). HyperSpectralDenoising.zip (https://www.mathworks.com/matlabcentral/fileexchange/46988-hyperspectraldenoising-zip), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0