A mapping approach for distortion correction in sinusoidally scanned images

J. Khoury; C. L. Woods; Bahareh Haji-saeed; Dana Pyburn; Sandip K. Sengupta; J. Kierstead

doi:10.1117/12.673439

17 April 2006 A mapping approach for distortion correction in sinusoidally scanned images

J. Khoury, C. L. Woods, Bahareh Haji-saeed, Dana Pyburn, Sandip K. Sengupta, J. Kierstead

Proceedings Volume 6245, Optical Pattern Recognition XVII; 62450I (2006) https://doi.org/10.1117/12.673439
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

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.

Citation Download Citation

J. Khoury, C. L. Woods, Bahareh Haji-saeed, Dana Pyburn, Sandip K. Sengupta, and J. Kierstead "A mapping approach for distortion correction in sinusoidally scanned images", Proc. SPIE 6245, Optical Pattern Recognition XVII, 62450I (17 April 2006); https://doi.org/10.1117/12.673439

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