Real-time adaptive video image enhancement

John R. Garside; Chris G. Harrison

doi:10.1117/12.354415

19 July 1999 Real-time adaptive video image enhancement

John R. Garside, Chris G. Harrison

Proceedings Volume 3691, Enhanced and Synthetic Vision 1999; (1999) https://doi.org/10.1117/12.354415
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

As part of a continuing collaboration between the University of Manchester and British Aerospace, a signal processing array has been constructed to demonstrate that it is feasible to compensate a video signal for the degradation caused by atmospheric haze in real-time. Previously reported work has shown good agreement between a simple physical model of light scattering by atmospheric haze and the observed loss of contrast. This model predicts a characteristic relationship between contrast loss in the image and the range from the camera to the scene. For an airborne camera, the slant-range to a point on the ground may be estimated from the airplane's pose, as reported by the inertial navigation system, and the contrast may be obtained from the camera's output. Fusing data from these two streams provides a means of estimating model parameters such as the visibility and the overall illumination of the scene. This knowledge allows the same model to be applied in reverse, thus restoring the contrast lost to atmospheric haze. An efficient approximation of range is vital for a real-time implementation of the method. Preliminary results show that an adaptive approach to fitting the model's parameters, exploiting the temporal correlation between video frames, leads to a robust implementation with a significantly accelerated throughput.

Citation Download Citation

John R. Garside and Chris G. Harrison "Real-time adaptive video image enhancement", Proc. SPIE 3691, Enhanced and Synthetic Vision 1999, (19 July 1999); https://doi.org/10.1117/12.354415

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