Adaptive coded aperture imaging in the infrared: towards a practical implementation

Chris W. Slinger; Kevin Gilholm; Neil Gordon; Mark McNie; Doug Payne; Kevin Ridley; Malcolm Strens; Mike Todd; Geoff De Villiers; Philip Watson; Rebecca Wilson; Gavin Dyer; Mike Eismann; Joe Meola; Stanley Rogers

doi:10.1117/12.805372

19 August 2008 Adaptive coded aperture imaging in the infrared: towards a practical implementation

Chris W. Slinger, Kevin Gilholm, Neil Gordon, Mark McNie, Doug Payne, Kevin Ridley, Malcolm Strens, Mike Todd, Geoff De Villiers, Philip Watson, Rebecca Wilson, Gavin Dyer, Mike Eismann, Joe Meola, Stanley Rogers

Author Affiliations +

Proceedings Volume 7096, Adaptive Coded Aperture Imaging and Non-Imaging Sensors II; 709609 (2008) https://doi.org/10.1117/12.805372
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

An earlier paper [1] discussed the merits of adaptive coded apertures for use as lensless imaging systems in the thermal infrared and visible. It was shown how diffractive (rather than the more conventional geometric) coding could be used, and that 2D intensity measurements from multiple mask patterns could be combined and decoded to yield enhanced imagery. Initial experimental results in the visible band were presented. Unfortunately, radiosity calculations, also presented in that paper, indicated that the signal to noise performance of systems using this approach was likely to be compromised, especially in the infrared. This paper will discuss how such limitations can be overcome, and some of the tradeoffs involved. Experimental results showing tracking and imaging performance of these modified, diffractive, adaptive coded aperture systems in the visible and infrared will be presented. The subpixel imaging and tracking performance is compared to that of conventional imaging systems and shown to be superior. System size, weight and cost calculations indicate that the coded aperture approach, employing novel photonic MOEMS micro-shutter architectures, has significant merits for a given level of performance in the MWIR when compared to more conventional imaging approaches.

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Chris W. Slinger, Kevin Gilholm, Neil Gordon, Mark McNie, Doug Payne, Kevin Ridley, Malcolm Strens, Mike Todd, Geoff De Villiers, Philip Watson, Rebecca Wilson, Gavin Dyer, Mike Eismann, Joe Meola, and Stanley Rogers "Adaptive coded aperture imaging in the infrared: towards a practical implementation", Proc. SPIE 7096, Adaptive Coded Aperture Imaging and Non-Imaging Sensors II, 709609 (19 August 2008); https://doi.org/10.1117/12.805372

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