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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. Focuses specifically on lossless information hiding for images Covers the most common visual medium, images, and the most common compression schemes, JPEG and JPEG 2000 Includes recent state-of-the-art techniques in the field of lossless image watermarking Presents many lossless hiding schemes, most of which come from the authors' publications in the past five years
This research book presents a sample of recent advances in information hiding techniques and their applications. It includes: Image data hiding scheme based on vector quantization and image graph coloring The copyright protection system for Android platform Reversible data hiding ICA-based image and video watermarking Content-based invariant image watermarking Single bitmap block truncation coding of color images using cat swarm optimization Genetic-based wavelet packet watermarking for copyright protection Lossless text steganography in compression coding Fast and low-distortion capacity acoustic synchronized acoustic-to-acoustic steganography scheme Video watermarking with shot detection.
Applications of information hiding are fundamental to copyright protection of images, data, passport control, CDs, videos and more. This book offers the latest research and successful applications of advanced artificial intelligence paradigms in data hiding.
The widespread use of high-speed networks has made the global distribution of digital media contents readily available in an instant. As a result, data hiding was created in an attempt to control the distribution of these copies by verifying or tracking the media signals picked up from copyright information, such as the author or distributor ID. Multimedia Information Hiding Technologies and Methodologies for Controlling Data presents the latest methods and research results in the emerging field of Multimedia Information Hiding (MIH). This comprehensive collection is beneficial to all researchers and engineers working globally in this field and aims to inspire new graduate-level students as they explore this promising field.
This volume of Smart Innovation, Systems and Technologies contains accepted papers presented in IIH-MSP-2016, the 12th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year was technically co-sponsored by Tainan Chapter of IEEE Signal Processing Society, Fujian University of Technology, Chaoyang University of Technology, Taiwan Association for Web Intelligence Consortium, Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology), and Harbin Institute of Technology Shenzhen Graduate School. IIH-MSP 2016 is held in 21-23, November, 2016 in Kaohsiung, Taiwan. The conference is an international forum for the researchers and professionals in all areas of information hiding and multimedia signal processing.
This book constitutes the thoroughly refereed post-proceedings of the 5th International Workshop on Information Hiding, IH 2002, held in Noordwijkerhout, The Netherlands, in October 2002. The 27 revised full papers presented were carefully selected during two rounds of reviewing and revision from 78 submissions. The papers are organized in topical sections on information hiding and networking, anonymity, fundamentals of watermarking, watermarking algorithms, attacks on watermarking algorithms, steganography algorithms, steganalysis, and hiding information in unusual content.
This book constitutes refereed proceedings of the 3rd International Conference on Recent Trends in Advanced Computing - Artificial Intelligence and Technologies. This book covers a wide range of topics—vision, analytics, robotics, networking, health care, current pandemic issues of COVID-19, and cutting-edge technologies connected to cybersecurity in digital manufacturing and Industry 4.0. The contents of this book will be useful to researchers from industry and academia. The volume includes novel contributions and the latest developments from researchers across industry and academia. The book will serve as a valuable reference resource for academics and researchers across the globe.
Two novel robust lossless data hiding algorithms that do not use modulo-256 to achieve losslessness and hence do not generate salt-and-pepper noise have been invented and developed in this project. One is implemented in spatial domain, another in integer wavelet transform domain. Both are based on patchwork theory and both treat blocks of different content with different embedding schemes. Permutation and error correction codes are utilized to enhance robustness. Extensive experimental works have been conducted and have demonstrated the effectiveness of these two algorithms. These two algorithms have been used in a Unified Authentication Framework for JPEG2000 Images, which has now been included in the final committee draft (FCD) 1.0 of the Security Part of JPEG2000 (JPSEC) standard.
This book constitutes the thoroughly refereed post-proceedings of the 4th International Information Hiding Workshop, IHW 2001, held in Pittsburgh, PA, USA, in April 2001. The 29 revised full papers presented were carefully selected during two rounds of reviewing and revision. All current issues in information hiding are addressed including watermarking and fingerprinting of digitial audio, still image and video; anonymous communications; steganography and subliminal channels; covert channels; and database inference channels.