The Taub Faculty of Computer Science Events and Talks

We introduce a system for hyperspectral imaging based on micro-mirror array, that projects subsets of image pixels onto a prism (or diffraction grating), followed by a CCD-type sensor. This system allows generalized sampling schemes including compressed sensing. We acquire only a fraction of the samples that are required to obtain the full-resolution signal (hyperspectral cube in our case), and by means of non-linear optimization recover the underlying signal. We use a prior knowledge about the signal sparsity in some dictionary, and its limited total variation. We also introduce additional measurements of full-resolution image using small number of filters similar to RGB. As a result, we obtain a feasible system for hyperspectral imaging that enables faster acquisition compared to traditional sampling systems. We present sensitivity analysis of our system to dark and shot noise.

*M.Sc thesis seminar under the supervision of Prof. Ehud Rivlin and Dr. Michael Zibulevsky.