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Optical Engineering

Mapping approach for image correction and processing for bidirectional resonant scanners
Author(s): Bahareh Haji-Saeed; Jed Khoury; Charles L. Woods; Dana Pyburn; Sandip K. Sengupta; John Kierstead
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Paper Abstract

We have developed a mapping algorithm for correcting sinusoidally scanned images from their distortions. Our algorithm is based on the close relationship between linear and sinusoidal scanning. Straightforward implementation of this algorithm showed that the mapped image has either missing lines or redundant lines. The missing lines were filled by fusing the mapped image with its median-filtered or interpolated version. The implementation of this algorithm shows that it is possible to retrieve up to 98% of the original image (depending on the algorithm used for data fusion) as measured by the recovered energy. Excellent correction was obtained for both simulated scanned images and actual images from a scanning laser radar system.

Paper Details

Date Published: 1 February 2007
PDF: 8 pages
Opt. Eng. 46(2) 027007 doi: 10.1117/1.2434767
Published in: Optical Engineering Volume 46, Issue 2
Show Author Affiliations
Bahareh Haji-Saeed, Solid State Scientific Corp. (United States)
Jed Khoury, Air Force Research Lab. (United States)
Charles L. Woods, Air Force Research Lab. (United States)
Dana Pyburn, Univ. of Massachusetts/Lowell (United States)
Sandip K. Sengupta, Univ. of Massachusetts/Lowell (United States)
John Kierstead, Solid State Scientific Corp. (United States)


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