Optimization Models in Steganography Using Metaheuristics [[electronic resource] /] / by Dipti Kapoor Sarmah, Anand J. Kulkarni, Ajith Abraham

• Autore: Sarmah Dipti Kapoor
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (174 pages)
• Disciplina: 652.8
• Soggetto topico: Computational intelligence; Artificial intelligence; Optical data processing; Computational Intelligence; Artificial Intelligence; Image Processing and Computer Vision
• Persona (resp. second.): KulkarniAnand J; AbrahamAjith
• Nota di bibliografia: Includes bibliographical references.
• Sommario/riassunto: 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.
• Titolo autorizzato: Optimization Models in Steganography Using Metaheuristics
• ISBN: 3-030-42044-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483494003321
• Lo trovi qui: Univ. Federico II
• Serie: Intelligent Systems Reference Library, . 1868-4394 ; ; 187