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An Optimized Multi-bits Blind Watermarking Scheme

机译:一种优化的多比特盲水印方案

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This paper presents a new multi-bits watermarking scheme in DCT domain based on a chaotic Direct Sequence Spread Spectrum (DSSS) communication system, which is combined with error correcting codes (ECC) and Human Visual System (HVS) model in spatial domain. To extract the hidden watermark from a possibly corrupted watermarked image without error, we model watermarking as a digital communication problem and apply BCH channel coding and shuffling. To ensure optimal adaptive DCT watermark, we also demonstrate how to optimally embed a watermark given the constraints imposed by the mask in the spatial domain. The robustness of the algorithm has been tested with StirMark 4.0. Without the original image during the decoding process, the algorithm allows for the recovery of 64 bits of information in a 256x256 graylevel image after a significant JPEG compression and other common signal processing attack.
机译:本文提出了一种基于混沌直接序列扩频(DSSS)通信系统的DCT域新的多比特水印方案,该方案与空间域中的纠错码(ECC)和人类视觉系统(HVS)模型相结合。为了从可能损坏的水印图像中无误地提取隐藏水印,我们将水印建模为数字通信问题,并应用BCH信道编码和混洗。为了确保最佳的自适应DCT水印,我们还演示了如何在给定的掩码在空间域中施加约束的情况下最佳地嵌入水印。该算法的鲁棒性已通过StirMark 4.0进行了测试。在解码过程中没有原始图像的情况下,该算法允许在进行明显的JPEG压缩和其他常见信号处理攻击后,在256x256灰度图像中恢复64位信息。

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