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Proceedings Paper

Scene-based blind deconvolution in the presence of anisoplanatism
Author(s): David C. Dayton; John D. Gonglewski; Michael Myers
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Paper Abstract

Most non-conventional approaches to image restoration of scenes observed over long atmospheric slant paths require multiple frames of short exposure images taken with low noise focal plane arrays. The individual pixels in these arrays often exhibit spatial non-uniformity in their response. In addition base motion jitter in the observing platform introduces a frame-to-frame linear shift that must be compensated for in order for the multi-frame restoration to be successful. In this paper we describe a maximum a-posteriori parameter estimation approach to the simultaneous estimation of the frame-to-frame shifts and the array non-uniformity. This approach can be incorporated into an iterative algorithm and implemented in real time as the image data is being collected. We present a brief derivation of the algorithm as well as its application to actual image data collected from an airborne platform.

Paper Details

Date Published: 26 May 2011
PDF: 8 pages
Proc. SPIE 8020, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII, 80200V (26 May 2011); doi: 10.1117/12.883562
Show Author Affiliations
David C. Dayton, Applied Technology Associates (United States)
John D. Gonglewski, Air Force Research Lab. (United States)
Michael Myers, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 8020:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VIII
Daniel J. Henry; Beato T. Cheng; Dale C. Linne von Berg; Darrell L. Young, Editor(s)

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