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15 April 2010 A differential interpolation image correction approach for bidirectional resonant scanners
Bahareh Haji-Saeed, Charles L. Woods, John Kierstead, Jed Khoury
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Proceedings Volume 7701, Visual Information Processing XIX; 77010F (2010) https://doi.org/10.1117/12.849463
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States
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.
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Bahareh Haji-Saeed, Charles L. Woods, John Kierstead, and Jed Khoury "A differential interpolation image correction approach for bidirectional resonant scanners", Proc. SPIE 7701, Visual Information Processing XIX, 77010F (15 April 2010); https://doi.org/10.1117/12.849463
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KEYWORDS
Scanners
Image processing
Image restoration
LIDAR
Distortion
Computer simulations
Detection and tracking algorithms
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