Mapping approach for image correction and processing for bidirectional resonant scanners

Bahareh Haji-Saeed; Jed Khoury; Charles L. Woods; Dana Pyburn; Sandip K. Sengupta; John Kierstead

doi:10.1117/1.2434767

1 February 2007 Mapping approach for image correction and processing for bidirectional resonant scanners

Bahareh Haji-Saeed, Jed Khoury, Charles L. Woods, Dana Pyburn, Sandip K. Sengupta, John Kierstead

Author Affiliations +

Optical Engineering, Vol. 46, Issue 2, 027007 (February 2007). https://doi.org/10.1117/1.2434767

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.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Bahareh Haji-Saeed, Jed Khoury, Charles L. Woods, Dana Pyburn, Sandip K. Sengupta, and John Kierstead "Mapping approach for image correction and processing for bidirectional resonant scanners," Optical Engineering 46(2), 027007 (1 February 2007). https://doi.org/10.1117/1.2434767

Published: 1 February 2007

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