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High-Resolution Image Reconstruction from a Sequence of Rotated and Translated Frames and its Application to an Infrared Imaging System
Optical Engineering
  • Russell C Hardie, University of Dayton
  • Kenneth J. Barnard, Air Force Wright Laboratory
  • John G. Bognar, Technology/Scientific Services Inc.
  • Ernest E. Armstrong, Technology/Scientific Services Inc.
  • Edward A. Watson, Air Force Wright Laboratory
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Some imaging systems employ detector arrays that are not sufficiently dense to meet the Nyquist criterion during image acquisition. This is particularly true for many staring infrared imagers. Thus, the full resolution afforded by the optics is not being realized in such a system. This paper presents a technique for estimating a high-resolution image, with reduced aliasing, from a sequence of undersampled rotated and translationally shifted frames. Such an image sequence can be obtained if an imager is mounted on a moving platform, such as an aircraft. Several approaches to this type of problem have been proposed in the literature. Here we extend some of this previous work. In particular, we define an observation model that incorporates knowledge of the optical system and detector array. The high-resolution image estimate is formed by minimizing a regularized cost function based on the observation model. We show that with the proper choice of a tuning parameter, our algorithm exhibits robustness in the presence of noise. We consider both gradient descent and conjugate-gradient optimization procedures to minimize the cost function. Detailed experimental results are provided to illustrate the performance of the proposed algorithm using digital video from an infrared imager.
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Note: Paper was the winner of the 1998 Rudolf Kingslake Medal and Prize for the most noteworthy original paper to appear in Optical Engineering in 1998.

Society of Photo-Optical Instrumentation Engineers (SPIE)
Peer Reviewed
  • high resolution,
  • image reconstruction,
  • aliasing,
  • infrared,
  • Nyquist,
  • minimization.
Citation Information
Russell C Hardie, Kenneth J. Barnard, John G. Bognar, Ernest E. Armstrong, et al.. "High-Resolution Image Reconstruction from a Sequence of Rotated and Translated Frames and its Application to an Infrared Imaging System" Optical Engineering Vol. 37 Iss. 1 (1998)
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