Lossless Information Hiding in Images (Methods in Enzymology) - Softcover

Lu, Zhe-Ming

9780128120064: Lossless Information Hiding in Images (Methods in Enzymology)

Softcover

ISBN 10: 0128120061 ISBN 13: 9780128120064

Verlag: Syngress, 2016

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Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, most of which come from the authors' publications in the past five years. After reading this book, readers will be able to immediately grasp the status, the typical algorithms, and the trend of the field of lossless information hiding. Lossless information hiding is a technique that enables images to be authenticated and then restored to their original forms by removing the watermark and replacing overridden images. This book focuses on the lossless information hiding in our most popular media, images, classifying them in three categories, i.e., spatial domain based, transform domain based, and compressed domain based. Furthermore, the compressed domain based methods are classified into VQ based, BTC based, and JPEG/JPEG2000 based.

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�ber die Autorinnen und Autoren

Prof. Zhe-Ming Lu is currently the IEEE senior member and the Professor in Zhejiang University. He received the B.S. and M.S. degrees in electrical engineering and the Ph.D. degree in measurement technology and instrumentation from the Harbin Institute of Technology (HIT), Harbin, China, in 1995, 1997, and 2001, respectively. He became a Lecturer with HIT in 1999. Since 2003, he has been a Professor with the Department of Automatic Test and Control, HIT. He is currently a Full Professor with the School of Aeronautics and Astronautics, Zhejiang University. In the areas of multimedia signal processing and information hiding, he has published more than 250 papers, seven monographs in Chinese, one monograph in English and three book chapters in English. His current research interests include multimedia signal processing, information security, and complex networks

Prof. Shi-Ze Guo is currently the assistant of the Director of One of Research Institutes of The General Staff Headquarters, and the part-time Professor in Beijing University of Posts and Communications. He received the Ph.D. degree in measurement technology and instrumentation from the Harbin Institute of Technology (HIT), Harbin, China, in 1994. He is currently also the part-time Professor in University of Science and Technology of China, Zhejiang University and Wuhan University. His current research interests include network security, information security, and complex networks. He has undertaken many national and military projects. He won the second prize of Science and Technology of China for four times, the first prize of Science and Technology of Army for 8 times. He won the Qiushi Excellent Youth Award of China Association for Science and Technology in 2011, and the 11th Chinese Youth Award of Science and Technology in 2009. He has published 2 edited books and 50 papers in the area of Information and Network Security.

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Lossless Information Hiding in Images introduces many state-of-the-art lossless hiding schemes, covering a variety of techniques that fall into one of the three established categories: spatial domain–based schemes, transform domain–based schemes, and compressed domain–based schemes.
Key features
• Spatial domain–based schemes includes modulo addition–based schemes, difference expansion–based schemes,
histogram modification–based schemes, lossless compression–based schemes, and reversible secret sharing–based
schemes
• Transform domain–based schemes covers the requirements for lossless information hiding in transform domains and
two types of transform domain–based lossless information hiding methods, i.e., integer DCT–based schemes and
integer DWT–based schemes
• Compressed domain–based schemes cover four compressed domains: block truncation coding (BTC), JPEG, JPEG2000, and vector quantization (VQ), including, the modified fast correlation VQ (MFCVQ)–based scheme, side match VQ (SMVQ)–based schemes, and VQ index coding–based schemes
Lossless Information Hiding in Images describes the challenges and benefits of each scheme and guides engineers to
select and design a hiding scheme most suitable for their purpose, such as copyright protection, content authentication,
and secret communication in the fields of military, medicine, and law. This book additionally provides an invaluable resource for all researchers, students, and teachers in the fields of information security, image processing, information hiding, and communications

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