@article{dd27d469fe6a4976abe451552e980b63,
title = "Multiresolution fragile watermarking using complex chirp signals for content authentication",
abstract = "This paper proposes a wavelet-domain multiresolution fragile watermarking scheme using an improved quantization-index-modulation (QIM) embedding technique. A secure embedding zone is exploited in our proposed scheme to reduce the false detection rate of Kundur's scheme. The frequency modulated (FM) complex chirp signal is employed as watermark. Both the real and the imaginary parts of the chirp signal are embedded simultaneously in a hierarchical manner. Unlike the conventional schemes, the proposed scheme does not require the original watermark for content integrity verification and quality assessment for the distorted watermarked content. The blind authentication process allows embedding of arbitrary FM chirp watermarks.",
keywords = "Authentication, Blind watermarking, Complex chirp signals, Fragile watermarking, Multiresolution",
author = "Dan Yu and Farook Sattar and Braham Barkat",
note = "Funding Information: The authors would like to thank the anonymous reviewer for the valuable comments, especially the useful suggestions on performance evaluation, which substantially helped to improve the paper. About the Author — DAN YU received her B.Eng. in communication engineering and her Ph.D. degree in information security and multimedia signal processing from Nanyang Technological University, Singapore, in 2000 and 2005, respectively. She has been involved in various research projects in digital watermarking, information hiding, license plate recognition, video surveillance system. She is currently holding a postdoctoral research position in INRIA, France, with special interests in pattern recognition, classification, high-level image understanding and image retrieval. About the Author — FAROOK SATTAR received his Technical Licentiate and Ph.D. degrees in Signal and Image Processing from Lund University, Sweden. He is currently an Assistant Professor at Information Engineering Division, Nanyang Technological University, Singapore. His current research interests include digital watermarking, time–frequency analysis, blind source separation, speech/audio segmentation. He had been involved in a number of signal processing-related projects sponsored by Swedish National Science and Technology Board (NUTEK) and Singapore Academic Research Funding (AcRF) Scheme. His research has been published in a number of leading journals and conferences. About the Author — BRAHAM BARKAT received the degree of {\textquoteleft}Ingenieur d{\textquoteright}Etat{\textquoteright} in electronics from the National Polytechnic Institute of Algiers (ENPA), Algeria, M.S. degree in control systems from the University of Colorado, Boulder, USA, and Ph.D. degree from Queensland University of Technology (QUT), Brisbane, Australia. He was a Postdoctoral Research Fellow, first at QUT and then at Curtin University of Technology, Perth, Australia and then joined as an Assistant Professor at Nanyang Technological University, Singapore. He is currently an Assistant Professor at Electrical Engineering Program, Petroleum Institute, Abu Dhabi, UAE. His research interests include time–frequency signal analysis, estimation and detection, statistical array processing, and signal processing in telecommunications. ",
year = "2006",
month = may,
doi = "10.1016/j.patcog.2005.11.023",
language = "British English",
volume = "39",
pages = "935--952",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Ltd",
number = "5",
}