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The optimal watermark obtained satisfies both invisibility and robustness requirements.
By obtaining optimal watermark strength using a uniquely designed objective function, SAPSO addresses the conflicting problem of robustness, imperceptibility, and capacity of audio watermarking scheme using self-adjusted parameters.
Fig. 1 A geometric interpretation of the optimal watermark embedding.
This paper presents an optimal watermark embedding method combining spread spectrum and quantization.
Embedding in the DFT domain has its own advantages and it motivates us to develop optimal watermark decoding schemes for this domain.
In this paper, an optimal watermark embedding method has been developed by combining spread spectrum and quantization techniques with the embedding distortion minimized.
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Kumsawat et al. [14] proposed an image watermarking algorithm using the DMT and genetic algorithm (GA) applied to search for optimal watermarking parameters to improve the quality of the watermarked image and the robustness of the watermark.
This paper discusses an interesting open problem in digital watermarking domain, optimal watermarking problem, and proposes a new optimal image watermarking method under the framework of P systems.
The method can also remove the difficult issue of determining optimal watermarking parameters from previous watermarking algorithms.
A special membrane structure is designed and its cells as parallel computing units are used to find the optimal watermarking parameters for image blocks.
The genetic algorithm provides four optimal watermarking parameters, thus improving both the audio signal quality and watermark robustness.
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