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I am looking to experiment in MATLAB with image restoration/reconstruction using compressed sensing. I am relatively new to compressive sensing, and was inspired by the following Wired article to learn more about it:

In the Wired article linked above, the authors show a low-res picture of US President Obama, and snapshots of the image as it progresses through various stages of "recovery," ultimately ending up with a clean-looking image.

I have read quite a few papers, and even have coded a simple algorithm for sparse signal recovery in MATLAB, but I would like to be able to "play around" with a low-quality image in MATLAB, using some compressed sensing algorithms. I think it would help solidify my understanding of what is going on by incorporating a visual example.

So does anyone know of any such MATLAB demos/examples which provide the MATLAB code and a sample image (or images) that would permit one to experiment with the recovery process?

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  • $\begingroup$ Do you need additional details? $\endgroup$
    – Laurent Duval
    Commented Aug 20, 2016 at 20:48

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You can start with the Compressive Imaging Code code by J. Romberg, illustrating the paper "Imaging via Compressive Sampling".

Another great source of information and codes is on Nuit Blanche.

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The following links have papers and usually have the associated code:

Hope that helps.

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