FusionJISI: A fusion algorithm based on infrared and visible images with joint involvement of source image

Dong, Linlu; Wang, Jun; Zhao, Liangjun

doi:10.1016/j.infrared.2023.104704

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2024

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Cited by 4 publications

References 32 publications

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FusionCPP: Cooperative fusion of infrared and visible light images based on PCNN and PID control systems

Dong,

Wang

2024

Optics and Lasers in Engineering

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FusionCPP: Cooperative fusion of infrared and visible light images based on PCNN and PID control systems

Dong,

Wang

2024

Optics and Lasers in Engineering

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FusionIPCS: Infrared and visible light image fusion through an intelligent parallel control system

Dong,

Wang

2024

Optics and Lasers in Engineering

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Infrared and visible video fusion method based on local differential correlation features and PID control

Tang,

Wang

2024

Preprint

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The purpose of infrared and visible video fusion is to combine the complementary features of videos from different modalities. Most fusion algorithms ignore the feature associations of adjacent frames and the guidance of the source frames to the fusion process. Therefore, this paper proposes a new fusion method. First, a spatial-domain multi-attribute detail feature extraction model is proposed, which is capable of extracting the base layer, the bright detail layer and the dark detail layer of the source frames separately. Then, we propose an associated feature extraction model for adjacent frames, which improves the spatial continuity of the fused video. Furthermore, an exponential homomorphic filter is proposed, which simultaneously increases the dynamic range and contrast of the source infrared frames to obtain a general salient target extraction model. In the feature fusion stage, a weighted fusion rule based on edge intensity is used in the detail layer. Then we design the controller, transfer function and measurement function separately, so as to construct a closed-loop proportional-integral-derivative (PID) control system to fuse the base layer, which ensures that the fused video maintains more information of the source video. Experiments on public datasets demonstrate that our fusion method outperforms some state-of-the-art algorithms.

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FusionJISI: A fusion algorithm based on infrared and visible images with joint involvement of source image

Cited by 4 publications

References 32 publications

FusionCPP: Cooperative fusion of infrared and visible light images based on PCNN and PID control systems

FusionCPP: Cooperative fusion of infrared and visible light images based on PCNN and PID control systems

FusionIPCS: Infrared and visible light image fusion through an intelligent parallel control system

Infrared and visible video fusion method based on local differential correlation features and PID control

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