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Proceedings Paper

Development of a near infrared image intensifier using a generation III configuration
Author(s): Bin Ren; Feng Shi; Hong-chang Cheng; Hui Liu; Liu Feng; Liang-dong Zhang; Zhuang Miao
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Paper 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.

Paper Details

Date Published: 18 August 2011
PDF: 8 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81943A (18 August 2011); doi: 10.1117/12.901105
Show Author Affiliations
Bin Ren, North Night Vision Technology Group Co., Ltd (China)
Feng Shi, North Night Vision Technology Group Co., Ltd (China)
Hong-chang Cheng, North Night Vision Technology Group Co., Ltd (China)
Hui Liu, North Night Vision Technology Group Co., Ltd (China)
Liu Feng, North Night Vision Technology Group Co., Ltd (China)
Liang-dong Zhang, North Night Vision Technology Group Co., Ltd (China)
Zhuang Miao, North Night Vision Technology Group Co., Ltd (China)


Published in SPIE Proceedings Vol. 8194:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications

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