Visibility enhancement for robust tracking under bad weather

Sun Kang; Wang Bo

doi:10.1117/12.901047

18 August 2011 Visibility enhancement for robust tracking under bad weather

Sun Kang, Wang Bo

Proceedings Volume 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications; 819438 (2011) https://doi.org/10.1117/12.901047
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

In this paper, we present a novel method for visibility enhancement based on atmospheric scattering imaging models. Given only a single degraded image, we firstly estimate global atmospheric light vector based on dark channel prior. Then fast bilateral filter is used to deduce atmospheric veil, which is the key contribution of this paper. Following these, the ideal scene radiance could be recovered by directly solving physics-based imaging equation finally. The main advantage of our weather removal algorithm is that, it does not require any a priori scene structure, distributions of scene reflectance, or detailed knowledge about the particular weather condition, and could achieve similar or better restoration results with only a fraction of time consumption in contrast to state-of-art techniques both for color and grey images. Experiments results demonstrate that out algorithm could significantly enhance the details of hazy images, which is very important for features extraction and robust tracking for out-door vision system.

Citation Download Citation

Sun Kang and Wang Bo "Visibility enhancement for robust tracking under bad weather", Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 819438 (18 August 2011); https://doi.org/10.1117/12.901047

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KEYWORDS

Image enhancement

Visibility

Air contamination

Atmospheric modeling

Image processing

Atmospheric physics

Image restoration

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