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Proceedings Paper

A differential interpolation image correction approach for bidirectional resonant scanners
Author(s): Bahareh Haji-Saeed; Charles L. Woods; John Kierstead; Jed Khoury
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Paper Abstract

We have developed a differential interpolation method for correcting sinusoidally scanned distorted images. In our approach, the scanned image is processed by a line-by-line interpolation technique based on differentiation. As a natural consequence of the method, the image can be divided into four domains/zones perpendicular to the scan direction. The domain boundaries are set by our interpolation algorithm. Each domain is corrected using its specific algorithm; corrected domains are reassembled to construct the corrected image. The implementation of this algorithm shows that, for our 100 pixel wide test image, it is possible to retrieve at least 97.45% of the original image, as measured by the recovered energy, which is superior to the established methods we have applied to this problem.

Paper Details

Date Published: 15 April 2010
PDF: 7 pages
Proc. SPIE 7701, Visual Information Processing XIX, 77010F (15 April 2010); doi: 10.1117/12.849463
Show Author Affiliations
Bahareh Haji-Saeed, Air Force Research Lab. (United States)
Charles L. Woods, Air Force Research Lab. (United States)
John Kierstead, Solid State Scientific Corp. (United States)
Jed Khoury, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 7701:
Visual Information Processing XIX
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)

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