Angular memory effect imaging is a technique for imaging through an intervening scattering medium. The general method has a number of highly-specific constraints which limit applicability of the technique. In this talk I will discuss how coding and dictionary methods from computational and compressive sensing can overcome some of these limitations, particularly with respect to temporal and spectral bandwidths of the source and the resulting contrast of the speckle patterns recorded at the detector.

This presentation is part of Minisymposium “MS60 - Computational and Compressive Imaging Technologies and Applications (3 parts)”
organized by: Robert Muise (Lockheed Martin) , Richard Baraniuk (Rice University) .

Authors:

Michael Gehm (Duke University)

Keywords:

compressive imaging, computational imaging, dictionary methods, image compression, image reconstruction, image representation, inverse problems, memory effect imaging