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Image Enhancement Based on the Fusion of Visible and Near-Infrared Images

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Advances in Intelligent Automation and Soft Computing (IASC 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 80))

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Abstract

The fusion of visible (RGB) and near-infrared (NIR) images has been proved effective in improving contrast and enhancing details of visible images. In this paper, we propose a novel image fusion method based on gradient-map and non-saliency to fuse RGB and NIR images to enhance the image. In this work, we use a bilateral filter to decompose the image into a base layer and a detail layer. The fusion weights of two layers are constructed by gradient-map and non-saliency respectively. Our results indicate that, compared with other methods, our proposed method has better visual effects and image detail extraction capabilities, showing that the proposed method is feasible and effective.

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Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Zizhou Xu & Yueli Hu

Authors
  1. Zizhou Xu
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  2. Yueli Hu
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Corresponding author

Correspondence to Yueli Hu .

Editor information

Editors and Affiliations

  1. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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Xu, Z., Hu, Y. (2022). Image Enhancement Based on the Fusion of Visible and Near-Infrared Images. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_93

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