摘要
Median filtering is a nonlinear signal processing technique and has an advantage in the field of image anti-forensics.Therefore,more attention has been paid to the forensics research of median filtering.In this paper,a median filtering forensics method based on quaternion convolutional neural network(QCNN)is proposed.The median filtering residuals(MFR)are used to preprocess the images.Then the output of MFR is expanded to four channels and used as the input of QCNN.In QCNN,quaternion convolution is designed that can better mix the information of different channels than traditional methods.The quaternion pooling layer is designed to evaluate the result of quaternion convolution.QCNN is proposed to features well combine the three-channel information of color image and fully extract forensics features.Experiments show that the proposed method has higher accuracy and shorter training time than the traditional convolutional neural network with the same convolution depth.
基金
This work was supported in part by the Natural Science Foundation of China under Grants(Nos.61702235,61772281,U1636219,U1636117,61702235,61502241,61272421,61232016,61402235 and 61572258)
in part by the National Key R\&D Program of China(Grant Nos.2016YFB0801303 and 2016QY 01W0105)
in part by the plan for Scientific Talent of Henan Province(Grant No.2018JR0018)
in part by the Natural Science Foundation of Jiangsu Province,China under Grant BK20141006
in part by the Natural Science Foundation of the Universities in Jiangsu Province under Grant 14KJB520024,the PAPD fund and the CICAEET fund.
