ABSTRACT
This chapter presents hybrid imaging techniques which combine elements of adaptive optics and post detection image processing, derives mathematical models for the performance of the techniques, and provides representative results. Hybrid imaging techniques offer a tradeoff between complexity in adaptive optics and image post processing. The chapter describes the deconvolution from wavefront sensing (DWFS) technique, and analyses its performance. Techniques requiring adaptive optics include linear deconvolution, compensated DWFS, compensated speckle imaging, and frame selection. The chapter examines performance of the frame selection technique. It also examines the estimators used to reconstruct images in the DWFS method. The primary motivation for simulating DWFS is the complexity of the expressions which must be solved to perform analytic predictions of performance. The spatial frequency domain signal-to-noise ratio of the DWFS method is derived for the case of photon-limited detection.
