Compressive Sensing Super Resolution Camera
We present experiment results for a novel super-resolution imaging device that measures projections onto a random basis. The imaging system follows an architecture that has become familiar in compressed sensing. We developed the system model from experimentally acquired calibration data and evaluate system performance as a function of the size of the basis set, or equivalently, the number of projections applied in the reconstruction. Simulations show sensitivity of the approach to fundamental physical parameters certain to be encountered with real systems, including optical diffraction and noise.