27-06-2023 дата публикации
Номер: CN116342453A
Принадлежит:
The invention relates to the technical field of computer vision, in particular to an infrared and visible image fusion method sensitive to local illumination. Comprising the steps of constructing an infrared visible image coding and decoding fusion network based on local illumination sensitivity, constructing an illumination mask prediction sub-network based on self-supervision pre-training, and designing an illumination sensitivity fusion loss function. According to the method, a sub-network is predicted through an illumination mask, local illumination distribution is fitted through U-Net, a general illumination distribution rule in big data can be learned, the method can be directly used for illumination prediction of multiple tasks after training, and the method has high universality and robustness; according to the method, an illumination sensitive joint loss function formed by weighting three types of loss including illumination sensitive loss, auxiliary intensity loss and texture ...
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