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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| 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 |