High resolution restoration of images distorted by the atmosphere, based upon average atmospheric MTF

Dan Sadot; Arnon Rosenfeld; Gil Shuker; Norman S. Kopeika

doi:10.1117/12.178038

29 June 1994 High-resolution restoration of images distorted by the atmosphere, based upon average atmospheric modulation transfer function

Dan Sadot, Arnon Rosenfeld, Gil Shuker, Norman S. Kopeika

Author Affiliations +

Proceedings Volume 2222, Atmospheric Propagation and Remote Sensing III; (1994) https://doi.org/10.1117/12.178038
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A new method of real-time high resolution imaging through the atmosphere is presented. This technique is based on the knowledge of average atmospheric MTF at the time the image is received. Atmospheric effects are modeled by a noisy spatial frequency filter including an average component described by the average atmospheric modulation transfer function, and a noisy component modeled by the atmospheric point spread function's power spectral density. Analytical results are accompanied by experimental image restoration examples, indicating significant image quality improvement based upon knowledge of average atmospheric MTF. This method can be used to help overcome the jitter characteristics of turbulence, and is capable of yielding real-time image restoration with resolution limited essentially only by the hardware itself.

Citation Download Citation

Dan Sadot, Arnon Rosenfeld, Gil Shuker, and Norman S. Kopeika "High-resolution restoration of images distorted by the atmosphere, based upon average atmospheric modulation transfer function", Proc. SPIE 2222, Atmospheric Propagation and Remote Sensing III, (29 June 1994); https://doi.org/10.1117/12.178038

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