Chinese Optics Letters, 2018, 16 (1): 013501, Published Online: Jul. 17, 2018   

Fusion of the low-light-level visible and infrared images for night-vision context enhancement Download: 1044次

Author Affiliations
School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
Abstract
For better night-vision applications using the low-light-level visible and infrared imaging, a fusion framework for night-vision context enhancement (FNCE) method is proposed. An adaptive brightness stretching method is first proposed for enhancing the visible image. Then, a hybrid multi-scale decomposition with edge-preserving filtering is proposed to decompose the source images. Finally, the fused result is obtained via a combination of the decomposed images in three different rules. Experimental results demonstrate that the FNCE method has better performance on the details (edges), the contrast, the sharpness, and the human visual perception. Therefore, better results for the night-vision context enhancement can be achieved.

Jin Zhu, Weiqi Jin, Li Li, Zhenghao Han, Xia Wang. Fusion of the low-light-level visible and infrared images for night-vision context enhancement[J]. Chinese Optics Letters, 2018, 16(1): 013501.

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