Achieving higher perceptual quality and robustness in watermarking using Julian set patterns

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Achieving higher perceptual quality and robustness in watermarking using Julian set patterns

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Some of the most important classes of watermark detection methods in image watermarking are correlation-based algorithms. In these methods usually a pseudorandom noise pattern is embedded in the host image. The receiver can regenerate this pattern by having a key that is the seed of a random number generator. After that if the correlation between this pattern and the image that is assumed to have the watermark is higher than a predefined threshold, it means that the watermark exists and vice versa. Here, we show the advantage of using the Julian set patterns as a watermark, instead of the commonly used pseudorandom noise pattern. Julian set patterns can be regenerated in receiver with few parameters such as coefficients of its function and an initial point. These parameters can be embedded in the key. Our experiments show that the Julian set patterns not only manipulate a lower number of pixels (and therefore provide better visual quality) but also, compared with the pseudorandom noise pattern, it increases the robustness of watermark against attacks.

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