Watermarking Based on the Hyperanalytic Wavelet Transform

نویسندگان

  • Corina NAFORNITA
  • Alexandru ISAR
چکیده

In this paper we present a new technique for watermarking in the hyperanalytic wavelet domain. This has the advantage of better directional selectivity and shift invariance compared to the classical wavelet filter. The watermark is inserted into all levels of decomposition using a perceptual mask conceived by the authors. We compare this technique with two systems in the DWT domain, and show its superiority. We study the resistance of the three watermarking systems against various signal processing attacks. All three methods successfully detect the watermark. This leads to the conclusion that the Hyperanalytic Wavelet Transform (HWT) increases the payload and robustness.

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تاریخ انتشار 2008