Development of novel device assemblies and techniques for improving adaptive optics imaging systems.

摘要

This thesis develops novel Adaptive Optics (AO) image restoration techniques (amplitude and phase correction) for images embedded in very high noise environments with the capabilities including response to a broad-band spectrum of light, sensitivity to ultra-low light intensities and ability to process the corrections with musec speeds. The optical device assemblies and techniques are demonstrated in either a combination of prototype image correction systems and computer simulations or computer simulations alone.; In contrast to most of the adaptive optics systems that use deformable mirror devices for phase only correction, the image processors designed in this thesis can simultaneously compensate for amplitude and phase distortion in high noise environments, outperforming well-established optimal image restoration filters. The use of dynamic range compression for deconvolution and image recovery from blur in severe noisy environments is introduced for the first time in the image processing area.; The implementations of hybrid optical-digital processor systems and optoelectronic MEMS-based systems to adaptively recover signals embedded in severe noise environments are proposed, designed, modeled, fabricated and characterized. This research consists of two sections: (a) the implementation of hybrid optical-digital processors and (b) the development of a novel all Optically Addressed Deformable Mirror Device (OADMD). Also proposed is an OADMD efficient Optical Limiter dynamic range compression device that processes low light intensities and responds in musecs.