Comparison of restoration algorithms on high-altitude infrared images

David A. Hazzard; Michael K. Giles

doi:10.1117/12.255084

25 October 1996 Comparison of restoration algorithms on high-altitude infrared images

David A. Hazzard, Michael K. Giles

Proceedings Volume 2827, Digital Image Recovery and Synthesis III; (1996) https://doi.org/10.1117/12.255084
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Image restoration techniques, iterative and non-iterative, are applied to high-speed infrared images from a ground based telescope of objects at altitudes to reduce the degradation of the images caused by atmospheric turbulence, vibration, and systematic aberrations. Comparisons are made among the following: The Wiener filter, the Richardson-Lucy method, the CLEAN algorithm, and the maximum entropy method. The Wiener and Richardson-Lucy filters are found to have the best overall performance and flexibility when the PSF is known. The Wiener filter consistently provides the shortest restoration time for each set of test images. A good estimate of the PSF, obtained using Tatians's method, is used as an input parameter for each of the restoration algorithms.

Citation Download Citation

David A. Hazzard and Michael K. Giles "Comparison of restoration algorithms on high-altitude infrared images", Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); https://doi.org/10.1117/12.255084

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