Image fusion method based on RFN-Nest
The invention belongs to the technical field of machine learning, and particularly relates to an RFN-Nest-based image fusion method, which comprises the following steps: S1, data acquisition: collecting a common data set for infrared and visible light images, and completing data construction require...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
12.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The invention belongs to the technical field of machine learning, and particularly relates to an RFN-Nest-based image fusion method, which comprises the following steps: S1, data acquisition: collecting a common data set for infrared and visible light images, and completing data construction required by model training; s2, data preprocessing: preprocessing comprises normalization, data division and data scale unification, the preprocessed image is input into the constructed model, and the model training effect is ensured; s3, identifying the model: completing model building and model training by adopting deep learning; and S4, model storage: when the loss function of the model is not reduced any more, storing the model. According to the method, the multi-scale features are extracted from the source image by using the trained encoder, and the fused image is reconstructed by using the fused multi-scale features. In the second stage, Ldetail and Lf efeature are respectively used to retain the significant feature |
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Bibliography: | Application Number: CN202210270182 |