Fusion Algorithm of Infrared and Visible Images via Visual Saliency
Due to the difference between the imaging principles of infrared and visible images,the fusion results of the two multi-modality images often have problems such as contrast distortion and loss of detail information,etc.These problems bring great challenges to machine vision tasks such as automatic driving,battlefield surveillance,etc.A fusion algorithm of infrared and visible images via visual saliency is proposed.Firstly,Gaussian filter is used to decompose source images to obtain base layers and detail layers.Secondly,the contrast saliency fusion rule is constructed to merge the basic layers.Thirdly,the structure saliency fusion rule is designed to merge the detail layers.Finally,the final fusion result is obtained via image reconstruction.Experimental results demonstrate that the presented algorithm can achieve obvious targets,rich details and clear outlines,and it is inconsistent with human visual perception.
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