Compressive Multi-spectral Demosaicing

Explores Group-sparse and Kronecker Compressed Sensing Techniques for Multi-spectral demosaicing
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Updated 7 Oct 2013

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This work addresses the recovery of multi-spectral images from single sensor cameras using compressed sensing (CS) techniques. It is an exploratory work since this particular problem has not been addressed before. Thus, we do not attempt to 'compete' and 'outperform' any prior work. We considered two types of sensor arrays - uniform and random; and two recovery approaches - Kronecker CS and group-sparse reconstruction.

Cite As

Angshul Majumdar (2024). Compressive Multi-spectral Demosaicing (https://www.mathworks.com/matlabcentral/fileexchange/43784-compressive-multi-spectral-demosaicing), MATLAB Central File Exchange. Retrieved .

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Created with R2012a
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Version Published Release Notes
1.0.0.0