Computer Science – Performance
Scientific paper
Oct 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2827..203h&link_type=abstract
Proc. SPIE Vol. 2827, p. 203-210, Digital Image Recovery and Synthesis III, Paul S. Idell; Timothy J. Schulz; Eds.
Computer Science
Performance
Scientific paper
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.
Giles Michael K.
Hazzard David A.
No associations
LandOfFree
Comparison of restoration algorithms on high-altitude infrared images does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Comparison of restoration algorithms on high-altitude infrared images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comparison of restoration algorithms on high-altitude infrared images will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1143253