Performance Analysis of Fridrich-Goljan Self-Embedding Authentication Method
This paper analyzes the performance of the image authentication method based on robust hashing proposed by J. Fridrich and M. Goljan . In this method, both the embedder and the detector generate the watermark from a perceptual digest of the image. Therefore, an accurate performance analysis requires...
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| Veröffentlicht in: | IEEE transactions on information forensics and security 2009-09, Vol.4 (3), p.570-577 |
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| creator | Dominguez-Conde, G. Comesana, P. Perez-Gonzalez, F. |
| description | This paper analyzes the performance of the image authentication method based on robust hashing proposed by J. Fridrich and M. Goljan . In this method, both the embedder and the detector generate the watermark from a perceptual digest of the image. Therefore, an accurate performance analysis requires assessing the relation between noise and hash bit errors. Our approach first derives the probability of hash bit error due to watermark embedding and/or the attack, and then uses such probability to derive the probabilities of false positive and false negative. |
| doi_str_mv | 10.1109/TIFS.2009.2026463 |
| format | Article |
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Fridrich and M. Goljan . In this method, both the embedder and the detector generate the watermark from a perceptual digest of the image. Therefore, an accurate performance analysis requires assessing the relation between noise and hash bit errors. 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Fridrich and M. Goljan . In this method, both the embedder and the detector generate the watermark from a perceptual digest of the image. Therefore, an accurate performance analysis requires assessing the relation between noise and hash bit errors. 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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Authentication Content-based authentication Cryptography Detectors Discrete cosine transforms Forgery Image analysis Noise robustness Performance analysis Protection robust hash Watermarking |
| title | Performance Analysis of Fridrich-Goljan Self-Embedding Authentication Method |
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