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Both watermark embedding and detection are performed in the time-frequency domain.
The preprocessing stage described in the previous section is, as already stated, common for both watermark embedding and detection procedures.
In Section 2, the initial stage of preprocessing which precedes both watermark embedding and detection is first described.
This normalized representation of the original image is the input for the next step of preprocessing that is necessary for both watermark embedding and detection.
Both watermark embedding and detection procedures require that a proper preprocessing of the original image has taken place, so that the watermark embedding or detection areas can be located.
Finally, it is worthwhile noting that the usage of the dither modulation in both watermark embedding and extraction procedures enhances the blind nature of the proposed algorithm, since there is no longer need for the original orthogonal moments or the watermarked image to extract the hidden information.
Similar(52)
Both watermarked and original images are transformed into CT domain.
Both watermarking parameters and embedding positions are often important factors affecting the performance of watermarking systems.
However, for effective Digital Rights Management (DRM) of multimedia in the framework of embedded systems, both watermarking and cryptography are necessary.
While considering both the watermark retrieval rate and the computation speed, the genetic algorithm is strongly recommended.
In both aforementioned watermark embedding and extraction procedures, a Fuzzy Inference System (FIS) is applied to provide the appropriate quantization step for each moment coefficient, by giving an adaptive nature to the whole watermarking process.
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