Abstract
Infrared satellite images are often of low resolution and degraded by additive noise, linear blurs, and nonlinear effects due to scintillation and jitter noise. By using sequential frames, the presence of nonlinear effects may be suppressed. In fact, nonlinear effects might contribute to improvements of such image resolution by applying multi-frame processing where sub-pixel resolution approaches are used.
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References
A.U.G. Signals Ltd., “Space Based Infrared (SBIR) Multi-Dimensional Image Processing”, Report No. &D-0002/93, September 1993.
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© 1995 Springer Science+Business Media New York
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Lampropoulos, G.A., Boulter, J.F. (1995). 3-D Blur Estimation and Restoration of Sequential Space-Based Infrared Images. In: Lampropoulos, G.A., Chrostowski, J., Measures, R.M. (eds) Applications of Photonic Technology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9247-8_46
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DOI: https://doi.org/10.1007/978-1-4757-9247-8_46
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-9249-2
Online ISBN: 978-1-4757-9247-8
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