Thin digital imaging systems using focal plane coding

Andrew D. Portnoy; Nikos P. Pitsianis; David J. Brady; Junpeng Guo; Michael A. Fiddy; Michael R. Feldman; Robert D. Te Kolste

doi:10.1117/12.643203

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2 February 2006 Thin digital imaging systems using focal plane coding

Andrew D. Portnoy, Nikos P. Pitsianis, David J. Brady, Junpeng Guo, Michael A. Fiddy, Michael R. Feldman, Robert D. Te Kolste

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Proceedings Volume 6065, Computational Imaging IV; 60650F (2006) https://doi.org/10.1117/12.643203
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

With this work we show the use of focal plane coding to produce nondegenerate data between subapertures of an imaging system. Subaperture data is integrated to form a single high resolution image. Multiple apertures generate multiple copies of a scene on the detector plane. Placed in the image plane, the focal plane mask applies a unique code to each of these sub-images. Within each sub-image, each pixel is masked so that light from only certain optical pixels reaches the detector. Thus, each sub-image measures a different linear combination of optical pixels. Image reconstruction is achieved by inversion of the transformation performed by the imaging system. Registered detector pixels in each sub-image represent the magnitude of the projection of the same optical information onto different sampling vectors. Without a coding element, the imaging system would be limited by the spatial frequency response of the electronic detector pixel. The small mask features allow the imager to broaden this response and reconstruct higher spatial frequencies than a conventional coarsely sampling focal plane.

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Andrew D. Portnoy, Nikos P. Pitsianis, David J. Brady, Junpeng Guo, Michael A. Fiddy, Michael R. Feldman, and Robert D. Te Kolste "Thin digital imaging systems using focal plane coding", Proc. SPIE 6065, Computational Imaging IV, 60650F (2 February 2006); https://doi.org/10.1117/12.643203

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