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Volume 42 Issue 11
Nov.  2020
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LI Chenyang, DING Kun, WENG Shuai, WANG Li. Image Fusion of Infrared and Visible Images Based on Residual Significance[J]. Infrared Technology , 2020, 42(11): 1042-1047.
Citation: LI Chenyang, DING Kun, WENG Shuai, WANG Li. Image Fusion of Infrared and Visible Images Based on Residual Significance[J]. Infrared Technology , 2020, 42(11): 1042-1047.
shu

Image Fusion of Infrared and Visible Images Based on Residual Significance

  • 1.

    Hohai University, Changzhou 213022, China

  • 2.

    Photovoltaic Key Laboratory of Jiangsu Province, Changzhou 213022, China

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  • Received Date: December 14, 2019
  • Revised Date: September 06, 2020
    Graphical Abstract
    • Abstract
  • To make the fusion image show more image details and to obtain a better image visual effect, a fusion method based on residual significance is proposed. First, the infrared image is analyzed using residual significance to obtain its significance coefficients. Then, the source images are decomposed using a dual-tree complex wavelet transform, and the low- and high-frequency components are fused according to different fusion rules. Finally, the fusion image is reconstructed using the inverse transformation of a dual-tree complex wavelet. Experimental results showed that the fusion method proposed in this paper produced higher quality images and better visual effects than those of the traditional fusion method.
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    • References (14)
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