Multi-feature fusion PRNU extraction method and device based on double-layer hybrid model

The invention belongs to the field of PRNU extraction, and provides a multi-feature fusion PRNU extraction method and device based on a double-layer hybrid model. The method comprises the following steps: based on a to-be-traced image, adopting a double-layer hybrid model to obtain a noise feature map; calculating the correlation between the PRNU of the noise feature map and the reference PRNU of the camera so as to determine whether the to-be-traced image is shot by the camera; wherein the process of adopting the double-layer hybrid model comprises the following steps of: based on an image to be traced, respectively adopting a first feature extraction network and a second feature extraction network to obtain a first feature graph and a second feature graph; fusing the first feature map and the second feature map to obtain a first fused feature map; enhancing and compressing the first fusion feature map, and fusing the first fusion feature map with the to-be-traced image to obtain a second fusion feature map;