@article{2f5a24a64d224d1ea294b33b2c2fb6a1,
title = "Robust multibit image watermarking based on contrast modulation and affine rectification",
abstract = "In this paper, we present a robust multibit image watermarking scheme to undertake the common image-processing attacks as well as affine distortions. This scheme combines contrast modulation and effective synchronization for large payload and high robustness. We analyze the robustness, payload, and the lower bound of fidelity. Regarding watermark resynchronization under affine distortions, we develop a self-referencing rectification method to detect the distortion parameters for reconstruction by the center of mass in affine covariant regions. The effectiveness and advantages of the proposed scheme are confirmed by experimental results, which show the superior performance as comparing against several state-of-the-art watermarking methods.",
keywords = "Affine transform, Contrast modulation, Image rectification, Image watermarking, Robustness",
author = "Xin Zhong and Shih, {Frank Y.}",
note = "Funding Information: B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, USA, in 1983, and Ph.D. from Purdue University, West Lafayette, Indiana, USA, in 1987. He is a Professor jointly appoin ted in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He was the Department Chair and currently serves as the Director of Arti¯cial Intelligence and Computer Vision Laboratory. Dr. Shih held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Nanjing University of Information Science and Technology, China. He is an internationally renowned scholar and currently serves as the Editor-in-Chief for the International Journal of Pattern Recognition and Arti¯cial Intelligence. He was the Editor-in-Chief for the International Journal of Multimedia Intelligence and Security. In addition, he is on the Editorial Board of 12 international journals. He has served as a steering member, session chair, and committee member for numerous professional conferences and workshops. He has received numerous grants from National Science Foundation, NIH, NASA, Navy and Air Force, and Industry. He has won the Research Initiation Award from NSF, the Outstanding Teaching Award and the Board of Overseers Excellence in Research Award from NJIT, and the Best Paper Awards from journals and conferences. Dr. Shih is internationally recognized as an expert in Arti¯cial Intelligence and Pattern Recognition, Deep Learning, Watermarking, Steganography, and Forensics. He has authored six books including “Digital Watermarking and Steganography,” “Image Processing and Mathematical Morphology,” “Image Processing and Pattern Recognition,” and “Multimedia Security: Watermarking, Steganography, and Forensics.” He has published over 140 journal papers, 100 conference papers, and 24 book chapters. His current research interests include arti¯cial intelligence, deep learning, image processing, watermarking and steganography, digital forensics, pattern recognition, bioinformatics, biomedical engineering, fuzzy logic, and neural networks. Publisher Copyright: {\textcopyright} 2019 World Scientific Publishing Company.",
year = "2019",
month = dec,
day = "31",
doi = "10.1142/S0218001419540363",
language = "English (US)",
volume = "33",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "14",
}