Optimization Models in Steganography Using Metaheuristics (Intelligent Systems Reference Library, 187) 1st ed. 2020 Edition
Language: English
Published by Springer, 2021
Series: Book 152 of 188 - Intelligent Systems Reference Library
- Softcover
- New

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- Title
- Optimization Models in Steganography Using Metaheuristics (Intelligent Systems Reference Library, 187) 1st ed. 2020 Edition
- Author
- Sarmah, Dipti Kapoor; Kulkarni, Anand J.; Abraham, Ajith
- Publisher
- Springer
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030420469
- ISBN 13
- 9783030420468
- Series
- Book 152 of 188: Intelligent Systems Reference Library
This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG image. Considering four important aspects of steganography techniques – picture quality, high data-hiding capacity, secret text security and computational time – the book provides extensive information on four novel image-based steganography approaches that employ JPEG compression. Academics, scientists and engineers engaged in research, development and application of steganography techniques, optimization and data analytics will find the book’s comprehensive coverage an invaluable resource.
"About the title" may belong to another edition of this title.
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