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Proceedings Paper

Design of a high-definition imaging (HDI) analysis technique adapted to challenging environments
Author(s): Sophie Laurent; William Clement Karl; Janusz Konrad; Jody Wilson; Jeffrey L. Baumgardner; Michael J. Mendillo
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Paper Abstract

This paper presents a highly automated, more accurate approach to High Definition Imaging (HDI) using low signal-to-noise digital videos recorded at ground-based telescopes. The HDI approach involves the acquisition of a video sequence (103 - 105 fields) taken through a turbulent atmosphere followed by three-step post-processing. The specific goal is to be able to reproduce expert results, while limiting human interaction, to study both surface features and the atmospheres of planets and moons. The telescopes used here are preferably small and not equipped with Adaptive Optics. The three steps include registration, selection and restoration. First, registration, based on a template, is performed to find the exact position of each object. Then only higher-quality frames are selected by a criterion based on a measure of the blur in a region of interest around that object. The best quality frames are then shifted and added together to create an effective time exposure under ideal observing conditions. The last step is to remove distortions in the image, caused by the atmosphere and the optical equipment, through a regularized deconvolution of instrument and residual atmospheric blur. This procedure is done first in the white light domain, and then the registration information obtained there is applied to spectral data.

Paper Details

Date Published: 2 November 2004
PDF: 12 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.581739
Show Author Affiliations
Sophie Laurent, Boston Univ. (United States)
William Clement Karl, Boston Univ. (United States)
Janusz Konrad, Boston Univ. (United States)
Jody Wilson, Boston Univ. (United States)
Jeffrey L. Baumgardner, Boston Univ. (United States)
Michael J. Mendillo, Boston Univ. (United States)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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