A Capacity-based Sensing Matrix Design Method for Block Compressive Imaging Applications

In many compressive imaging applications, it can be difficult to design sensing matrices with suitable reconstruction capabilities. In this paper, we presents a novel method, based upon capacity maximization, for designing sensing matrices with enhanced block-sparse signal reconstruction capabilities. Numerical results, which demonstrate the design method's capabilities in a practical imaging application, are presented.