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Optimization Models in Steganography...
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Sarmah, Dipti Kapoor.
Optimization Models in Steganography Using Metaheuristics
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Optimization Models in Steganography Using Metaheuristics/ by Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham.
Author:
Sarmah, Dipti Kapoor.
other author:
Kulkarni, Anand J.
Description:
XIII, 166 p. 89 illus., 25 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-42044-4
ISBN:
9783030420444
Optimization Models in Steganography Using Metaheuristics
Sarmah, Dipti Kapoor.
Optimization Models in Steganography Using Metaheuristics
[electronic resource] /by Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham. - 1st ed. 2020. - XIII, 166 p. 89 illus., 25 illus. in color.online resource. - Intelligent Systems Reference Library,1871868-4394 ;. - Intelligent Systems Reference Library,67.
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.
ISBN: 9783030420444
Standard No.: 10.1007/978-3-030-42044-4doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Optimization Models in Steganography Using Metaheuristics
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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.
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Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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