Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering
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초록
To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailedinformation in current fusion methods, an infrared and visible light image fusion method based on variationalmultiscale decomposition is proposed. Firstly, the fused images are separately processed through variationalmultiscale decomposition to obtain texture components and structural components. The method of guidedfilter is used to carry out the fusion of the texture components of the fused image. In the structural componentfusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightnesscomprehensive information. Finally, the texture components of the two images are fused. The structurecomponents are added to obtain the final fused image. The experimental results show that the proposed methoddisplays very good noise robustness, and it also helps realize better fusion quality.
Abstract
To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailedinformation in current fusion methods, an infrared and visible light image fusion method based on variationalmultiscale decomposition is proposed. Firstly, the fused images are separately processed through variationalmultiscale decomposition to obtain texture components and structural components. The method of guidedfilter is used to carry out the fusion of the texture components of the fused image. In the structural componentfusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightnesscomprehensive information. Finally, the texture components of the two images are fused. The structurecomponents are added to obtain the final fused image. The experimental results show that the proposed methoddisplays very good noise robustness, and it also helps realize better fusion quality.
참고문헌 (10)
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