Depth composite image detection enhancement method and device based on generative adversarial network

The invention discloses a deep composite image detection enhancement method and device based on a generative adversarial network, and belongs to the technical field of image detection, and the method comprises the following steps: collecting a deep composite image data set # imgabs0 #; training an authenticity detection model according to the data set; training the generative adversarial network to improve the detection performance of the authenticity detection model on the deep synthetic data; constructing a new data set # imgabs1 # including gradient information according to the authenticity detection model; retraining the third-party authenticity detection model according to the new data set # imgabs2 #; and the deep synthesis service party uses the generative adversarial network to enhance the deep synthesis picture, so that the third-party authenticity detection model detects the deep synthesis picture at a high detection rate. According to the deep synthetic image detection enhancement method and device