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- W1983770107 abstract "ABSTRACTImage 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 testimages. A good estimate ofthe PSF, obtained using Tatians's method, is used as an input parameter for eachofthe restoration algorithms.1. INTRODUCTIONLong-range images of missiles tested at several military bases, including White Sands Missile Range(WSMR), are often recorded using ground based systems, such as the Apache Point 3.5 meter telescope andthe Sea Lite Beam Director. Some of the WSMR images are obtained at high frame rates using an infraredfocal plane array. At high frame rates, the distortion due to atmospheric turbulence is greatly reduced, andthe image degradation is primarily due to the optics and detector ofthe imaging system, which is modeled bythe system point spread fimction (PSF)' or the modulation transfer fimction (MTF). Since the degradation is" @default.
- W1983770107 created "2016-06-24" @default.
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- W1983770107 date "1996-10-25" @default.
- W1983770107 modified "2023-09-27" @default.
- W1983770107 title "<title>Comparison of restoration algorithms on high-altitude infrared images</title>" @default.
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- W1983770107 doi "https://doi.org/10.1117/12.255084" @default.
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