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Proceedings Paper

A mapping approach for distortion correction in sinusoidally scanned images
Author(s): J. Khoury; C. L. Woods; Bahareh Haji-saeed; Dana Pyburn; Sandip K. Sengupta; J. 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 an approximate 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 version. The implementation of this algorithm shows that it is possible to retrieve up to 96.43% of the original image, as measured by the recovered energy.

Paper Details

Date Published: 17 April 2006
PDF: 8 pages
Proc. SPIE 6245, Optical Pattern Recognition XVII, 62450I (17 April 2006); doi: 10.1117/12.673439
Show Author Affiliations
J. Khoury, Air Force Research Lab. (United States)
C. L. Woods, Air Force Research Lab. (United States)
Bahareh Haji-saeed, Univ. of Massachusetts Lowell (United States)
Dana Pyburn, Univ. of Massachusetts Lowell (United States)
Sandip K. Sengupta, Univ. of Massachusetts Lowell (United States)
J. Kierstead, Solid State Scientific Corp. (United States)

Published in SPIE Proceedings Vol. 6245:
Optical Pattern Recognition XVII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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