Parameter calibration of a novel super-resolution model for a compressed-sensing measurement setup

In this paper we present a new compressed sensing (CS) setup together with a new scalable CS model, which allows the trade off between system complexity (number of detectors) and time (number of measurements). We describe the calibration of the system with respect to model parameters and show the reconstruction of compressed measurements according to the new model, which are acquired with the proposed setup. With this setup it is possible to acquire super-resolution images with a low resolution camera.