This book was written as a primary text for a graduate or senior undergraduate course on steganography. It can also serve as a supporting text for virtually
any course dealing with aspects of media security, privacy, and secure communication. The research problems presented here may be used as motivational
examples or projects to illustrate concepts taught in signal detection and estimation, image processing, and communication. The author hopes that the book
will also be useful to researchers and engineers actively working in multimedia
security and assist those who wish to enter this beautiful and rapidly evolving
multidisciplinary field in their search for open and relevant research topics.
The text naturally evolved from lecture notes for a graduate course on
steganography that the author has taught at Binghamton University, New York
for several years. This pedigree influenced the presentation style of this book as
well as its layout and content. The author tried to make the material as selfcontained as possible within reasonable limits. Steganography is built upon the
pillars of information theory, estimation and detection theory, coding theory,
and machine learning. The book contains five appendices that cover all topics
in these areas that the reader needs to become familiar with to obtain a firm
grasp of the material. The prerequisites for this book are truly minimalistic and
consist of college-level calculus and probability and statistics.