Optimization Models in Steganography Using Metaheuristics (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Intelligent Systems Reference Library, 187
Release date:	February 2020
First published:	2020
Authors:	Dipti Kapoor Sarmah • Anand J. Kulkarni • Ajith Abraham
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	166
Edition:	1st ed. 2020
ISBN-13:	978-3-03-042043-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-042043-4
Barcode:	9783030420437

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!