Three Branch Network for Fusion of Infrared and Visible Images
For the fusion of infrared image and visible image,the existing image fusion task is basically based on the common autoencoder network,ignoring the extraction of important features of the image.To solve this problem,a unique autoencoder net-work is proposed,which has three branches,which are texture branch,content branch and base branch.In the encoder,the impor-tant features of infrared image and visible image are extracted by three branches,and then the fusion features are obtained by fusing the two groups of features.The decoder decodes the fusion feature to obtain the fusion image.This method is applied to the image fu-sion experiment and good experimental results are obtained.
image fusioninfrared image and visible imagefeature selectionthree branch autoencoder
国家科技期刊平台
NSTL
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