A maximum entropy algorithm based on the aperiodic model of deconvolution for image restoration

Abstract

We describe the aperiodic matrix model of deconvolution. Its kernel matrix is high order, and we cannot calculate this large matrix in a practical image restoration problem directly, but it can be handled by the DFT. We show a kind of maximum entropy algorithm for image restoration, based on the aperiodic matrix model, FFT algorithm and conjugate gradient algorithm (CGA). In experimental results its total computational burden and the memory requirement is moderate. It can run on a common PC computer.