Information Hiding and Machine Learning - Softcover

Yadav, Ashok Kumar; Kumar, Raj

 
9783346795632: Information Hiding and Machine Learning

Inhaltsangabe

Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Imagine a world where digital content is seamlessly protected, its authenticity verifiable at a glance. This book plunges into the cutting-edge realm of digital watermarking, offering innovative solutions for securing multimedia in an increasingly interconnected world. Dive into the intricacies of image watermarking through the lens of advanced machine learning techniques, specifically Lagrangian Twin Support Vector Regression (LTSVR) and Genetic Algorithms (GA). Explore how these powerful algorithms are harnessed to create robust and imperceptible watermarks, ensuring copyright protection without compromising visual quality. Uncover the secrets of watermark embedding and extraction in both the Discrete Cosine Transform (DCT) and Wavelet Transform (WT) domains, comparing and contrasting the strengths of each approach. Delve into novel methodologies incorporating QR decomposition, further enhancing the efficiency and resilience of watermarking schemes. This book meticulously details the optimization of watermarking systems, balancing the critical factors of robustness against various attacks and imperceptibility to maintain the integrity of the original content. Whether you're a seasoned researcher or a curious newcomer, this exploration of digital watermarking provides a comprehensive understanding of the latest advancements in securing digital assets, paving the way for a future where intellectual property is safeguarded with unparalleled precision and sophistication. Discover how the fusion of machine learning and signal processing is revolutionizing copyright protection in the digital age. Explore practical applications and gain insights into the performance evaluation of digital watermarking schemes. This book is essential reading for any

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Über die Autorin bzw. den Autor

Dr. Ashok Kumar Yadav is working as Assistant Professor in the Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. Earlier he was working as Assistant Professor in the Department of Computer Science and Engineering at Amity School of Engineering and Technology, New Delhi. He received his B.Sc. in Computer Science in 1999, M.Sc. in Computer Science (Software) in 2001 and M.Tech. in Computer Science and Engineering in 2003 from Kurukshetra University. He has published more than 20 research papers in SCIE, Scopus and UGC-listed journals and conferences. He has an experience of 18 years. He is an Editorial member and Reviewer of many SCI and Internationally reputed journals.

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