Blind super-resolution of turbulence-degraded imagery

The blind restoration problem has seen significant progress with the demonstration of estimation theoretic methods by T. Schulz (1993). In this paper we present further extension to the problem of blind super-resolution. The problem of interest in this paper is the super-resolution of imagery acquired through a turbulent atmosphere, where super-resolution is defined as recovery of object spatial frequencies beyond the diffraction limit of the optical sensor. We present a blind super-resolution algorithm for multiple frames of turbulent imagery data, and discuss simulations demonstrating the performance.