Jinwei Wang1, 2, 3, 4, Qiye Ni3, Yang Zhang3, Xiangyang Luo2, *, Yunqing Shi5, Jiangtao Zhai3, Sunil Kr Jha3
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 929-943, 2020, DOI:10.32604/cmc.2020.06569
Abstract 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… More >
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