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Abstract
A large number of perceptual image hashing schemes have been developed in recent decades, and they usually calculated the hash distances using Euclidean distance, correlation coefficient, normalized Hamming distance, etc. These hash distances are not customized measurements for hash sequences, which are all single values. To this end, a new distance measurement method, i.e. a distance vector instead of a single value, is proposed in this paper. Since a hash sequence can be regarded as the compressed representation of image perceptual content, the correlation between images is maintained between hash sequences. In our method, the correlation between hash sequences is captured by residuals and co-occurrence matrix to form a distance vector. The correlation differences between perceptually similar and distinct images can be captured in the obtained distance vectors. Using a binary classifier, it is easy to classify the distance vectors of perceptually similar image pairs and perceptually distinct image pairs. As a result, content authentication accuracy of perceptual image hashing can be effectively increased, which is verified by experimental results.
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No potential conflict of interest was reported by the author(s).
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Xinran Li
Xinran Li received the BS degree in electrical engineering and the MS in mechanical engineering from Hebei Agricultural University, Baoding, China, in 2015 and 2017, respectively. She is currently pursuing the PhD degree in the control engineering with the University of Shanghai for Science and Technology, Shanghai, China. Her research interests include image hashing, ciphertext domain signal processing, image authentication and multimedia security. Email: [email protected]
Chuan Qin
Chuan Qin received the BS degree in electronic engineering and the MS degree in signal and information processing from the Hefei University of Technology, Anhui, China, in 2002 and 2005, respectively, and the PhD degree in signal and information processing from Shanghai University, Shanghai, China, in 2008. Since 2008, he has been with the faculty of the school of optical-electrical and computer engineering, University of Shanghai for Science and Technology, where he is currently a Professor. He was with Feng Chia University, Taiwan, as a Post-Doctoral Researcher, from July 2010 to July 2012. His research interests include image processing and multimedia security. He has published more than 150 articles in these research areas. Email: [email protected]
Zichi Wang
Zichi Wang received the BS degree in electronics and information engineering from Shanghai University, China, in 2014, and received the MS degree in signal and information processing in 2017, the PhD degree in information and communication engineering from the same university in 2020. His research interests include steganography, steganalysis, and artificial intelligence security. He has published over 40 papers in these areas. Corresponding author. Email: [email protected]
Xinpeng Zhang
Xinpeng Zhang received BS from Jilin University, China, in 1995, and the MS and PhD from Shanghai University, in 2001 and 2004, respectively. Since 2004, he has been with the faculty of the school of communication and information engineering, Shanghai University, where he is currently a fulltime professor. He is also with the faculty of the school of computer science, Fudan University. He was with The State University of New York at Binghamton as a Visiting Scholar from 2010 to 2011, and also with Konstanz University as an experienced Researcher, sponsored by the Alexander von Humboldt Foundation from 2011 to 2012. His research interests include multimedia security, image processing, and digital forensics. He has published over 200 research papers. He was an associate editor for IEEE transactions on information forensics and security from 2014 to 2017. Email: [email protected]
Zhenjun Tang
Zhenjun Tang received the BS and MEng. degrees from Guangxi Normal University, Guilin, China, in 2003 and 2006, respectively, and the PhD degree from Shanghai University, Shanghai, China, in 2010. He is a professor with the school of computer science and engineering, Guangxi Normal University. He served as the PC chair of IWDW 2022. He is the associate editor of EURASIP journal on image and video processing, and the reviewer of more than 30 SCI journals, such as IEEE/ACM Transactions, Elsevier journals, and Springer journals. His research interests include image and video processing, data hiding, and multimedia security. He has contributed more than 120 papers in international journals and conferences. Email: [email protected]