A framework for small infrared target real-time visual enhancement

Xiaoliang Sun; Gucan Long; Yang Shang; Xiaolin Liu

doi:10.1117/12.2178807

18 March 2015 A framework for small infrared target real-time visual enhancement

Xiaoliang Sun, Gucan Long, Yang Shang, Xiaolin Liu

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430N (2015) https://doi.org/10.1117/12.2178807
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

Abstract

This paper proposes a framework for small infrared target real-time visual enhancement. The framework is consisted of three parts: energy accumulation for small infrared target enhancement, noise suppression and weighted fusion. Dynamic programming based track-before-detection algorithm is adopted in the energy accumulation to detect the target accurately and enhance the target’s intensity notably. In the noise suppression, the target region is weighted by a Gaussian mask according to the target’s Gaussian shape. In order to fuse the processed target region and unprocessed background smoothly, the intensity in the target region is treated as weight in the fusion. Experiments on real small infrared target images indicate that the framework proposed in this paper can enhances the small infrared target markedly and improves the image’s visual quality notably. The proposed framework outperforms tradition algorithms in enhancing the small infrared target, especially for image in which the target is hardly visible.

Citation Download Citation

Xiaoliang Sun, Gucan Long, Yang Shang, and Xiaolin Liu "A framework for small infrared target real-time visual enhancement", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430N (18 March 2015); https://doi.org/10.1117/12.2178807

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