Complex mapping-based blind image superresolution

Recently, we proposed a blind resolution enhancement method for pure translational motion and shift invariant blur which used a two-dimensional and single-input multiple-output extension of the constant modulus algorithm. The method worked well when the bit number per pixel was low, but the performance decreased as the bit number increased. In this work, we propose a refined scheme in which complex representation of images and a set of complex deconvolution FIR filters are used. Simulations show that the refined method succeeds in recontructing the high-resolution image without the knowledge of blur parameters even when the number of bits per pixel is high.