Seeking compressive sensing imaging demo in MATLAB 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:


Fill in the Blanks: Using Math to Turn Lo-Res Datasets Into Hi-Res Samples


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?
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.