Extreme learning machine based optimal embedding location finder for image steganography

In image steganography, determining the optimum location for embedding the secret message precisely with minimum distortion of the host medium remains a challenging issue. Yet, an effective approach for the selection of the best embedding location with least deformation is far from being achieved. T...

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Detalles Bibliográficos
Autores principales: Atee, Hayfaa Abdulzahra, Ahmad, Robiah, Noor, Norliza Mohd, Rahma, Abdul Monem S., Aljeroudi, Yazan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308843/
https://www.ncbi.nlm.nih.gov/pubmed/28196080
http://dx.doi.org/10.1371/journal.pone.0170329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308843/
https://www.ncbi.nlm.nih.gov/pubmed/28196080
http://dx.doi.org/10.1371/journal.pone.0170329

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