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Proceedings Paper

Contrast equalization methods for layered-sensing systems
Author(s): Richard L. Van Hook; Jeffery Layne; Andrew S. Kondrath
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Paper Abstract

Layered sensing is a relatively new construct in the repertoire of the US Air Force. Under the layered sensing paradigm, an area is surveyed by a multitude of sensors at varying altitudes, and operating across many modalities. One of the recent pushes is to incorporate multi-sensor systems and create from them a single image. However, if the sensor parameters are not properly adjusted, the contrast amongst the images from camera to camera will vary greatly. This can create issues when performing tracking and analysis work. The contribution of this paper is to explore and provide an evaluation of various techniques for histogram equalization of Electro-Optical (EO) video sequences whose views are centered on a city. In this paper, the performance of several methods on histogram equalization are evaluated under the layered sensing construction.

Paper Details

Date Published: 15 April 2010
PDF: 12 pages
Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040Q (15 April 2010); doi: 10.1117/12.851511
Show Author Affiliations
Richard L. Van Hook, Air Force Research Lab. (United States)
Jeffery Layne, Air Force Research Lab. (United States)
Andrew S. Kondrath, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 7704:
Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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