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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| Main Authors: | , , , , |
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| Format: | Article |
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Public Library Science
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/66139/ http://dx.doi.org/10.1371/journal.pone.0170329 |
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