Publications [#280503] of David J. Brady
- Portnoy, AD; Pitsianis, NP; Brady, DJ; Guo, J; Fiddy, MA; Feldman, MR; Te Kolste, RD, Thin digital imaging systems using focal plane coding,
Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol. 6065
pp. 60650 -, SPIE, San Jose, CA, United States, ISSN 0277-786X [doi]
(last updated on 2019/11/13)
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. © 2006 SPIE-IS&T.
Image coding;Information analysis;Frequency response;