Research on Infrared Video Frame Interpolation Algorithm Based on Optical Flow Method in Transient Scene
According to the existing infrared image intercalation methods,the infrared image with good robustness can not be obtained in the transient scene.A multi-scale and multi-branch optical flow net-work based on attention is proposed.Optical flow information of two adjacent infrared images is extracted,and each branch learns one optical flow information respectively.Then,multi-scale feature fusion module is used to focus on locally important information at each scale.A multi-optical flow feature reweighting module is designed to select the features of each optical flow adaptively according to channel attention.The experimental results show that the proposed method can complete the frame interpolation task well,and its performance is more superior than that of the state of the art algorithms.
infrared video frame interpolationattention mechanismoptical flowfeature fusion
国家科技期刊平台
NSTL
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