Restoration of images degraded by motion

Moshe Fisher; Norman S. Kopeika

doi:10.1117/12.138457

1 October 1992 Restoration of images degraded by motion

Moshe Fisher, Norman S. Kopeika

Author Affiliations +

Proceedings Volume 1705, Visual Information Processing; (1992) https://doi.org/10.1117/12.138457
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Low frequency sinusoidal motion involves random process blur length. Restoration of blurred images degraded by this type of motion is more complicated than other images blurred by relative motion between the target and the camera. Results are presented from low frequency motion experiments in which all parameters were measured and used to calculate numerically the optical transfer function (OTF) which was used to restore the blurred image with a wiener filter approach. These results are much better than those achieved using linear motion OTF and high frequency motion OTF. This method for calculating numerically OTF and applying it to image restoration of blurred images can be used for any type of vibration or motion.

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Moshe Fisher and Norman S. Kopeika "Restoration of images degraded by motion", Proc. SPIE 1705, Visual Information Processing, (1 October 1992); https://doi.org/10.1117/12.138457

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