Electronics Optics & Control, Volume. 27, Issue 12, 22(2020)

A Multi-sensor Image Fusion Algorithm Driven by Multiple Gradient Features

ZHANG Yongxin1, ZHAO Peng1, FAN Xunli2, and LI Deguang1
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  • 1[in Chinese]
  • 2[in Chinese]
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    Most of the existing fusion methods cannot well preserve all the significant features of the source images.To solve the problem, a novel multi-sensor image fusion method driven by multiple gradient features is proposed.Two-scale decomposition is performed on the source images by using the Gaussian filter for obtaining the base layers and the detail layers of the source image.A morphological gradient operator is used to extract the gradient feature of the base layers and the detail layers to construct the saliency maps, which are optimized by Gradient Domain Guided Filtering(GDGF).The fusion of the base layers and the detail layers is guided by the optimized saliency maps for obtaining the final fused image.The experimental results of test image sets demonstrate the superiority of the proposed method in the subjective and objective evaluation.

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    ZHANG Yongxin, ZHAO Peng, FAN Xunli, LI Deguang. A Multi-sensor Image Fusion Algorithm Driven by Multiple Gradient Features[J]. Electronics Optics & Control, 2020, 27(12): 22

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    Paper Information

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    Received: Aug. 28, 2020

    Accepted: --

    Published Online: Jan. 14, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2020.12.005

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