Image enhancement by local information fusion with pre-processing and composed metric

Mathieu Aubailly; Mikhail A. Vorontsov; Gary W. Carhart; Michael T. Valley

doi:10.1117/12.799874

20 August 2008 Image enhancement by local information fusion with pre-processing and composed metric

Mathieu Aubailly, Mikhail A. Vorontsov, Gary W. Carhart, Michael T. Valley

Proceedings Volume 7090, Atmospheric Optics: Models, Measurements, and Target-in-the-Loop Propagation II; 709006 (2008) https://doi.org/10.1117/12.799874
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

An imaging enhancement technique capable of mitigating the effect of atmospheric turbulence on wide field-of-view images is presented. The method is based on the local information fusion from a set of short-exposure anisoplanatic images. Since anisoplanatism affects short-exposure images locally, the synthetic imaging algorithm uses local image quality information. Pre-processing of the source data and use of a composed image quality metric are considered. The synthetic imaging technique is tested on experimental data. The synthesized images show an improvement in image quality compared to the original set of images.

Citation Download Citation

Mathieu Aubailly, Mikhail A. Vorontsov, Gary W. Carhart, and Michael T. Valley "Image enhancement by local information fusion with pre-processing and composed metric", Proc. SPIE 7090, Atmospheric Optics: Models, Measurements, and Target-in-the-Loop Propagation II, 709006 (20 August 2008); https://doi.org/10.1117/12.799874

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