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基于模糊熵和均值量化的盲文水印方案

A blind watermarking scheme based on fuzzy entropy and mean quantization
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摘要 提出了一种新的DCT域盲文水印算法,该算法应用模糊熵测度选择边缘特征显著的子块作为嵌入子块,然后应用均值量化来增强嵌入水印的鲁棒性.实验结果表明,嵌入水印后的图像具有很好的不可见性,同时对常见的信号处理和噪声干扰具有良好的鲁棒性. This paper presents a new blind watermarking scheme in DCT domain. The scheme applies fuzzy entropy estimation to search embedding sub-blocks which are the notable areas of the image features, then applies mean quantization to strengthen robust of watermarking. Experiment results show that the proposed scheme has good robustness and imperceptibility to common information processing operation and noise attack.
出处 《西南民族大学学报(自然科学版)》 CAS 2005年第5期815-818,共4页 Journal of Southwest Minzu University(Natural Science Edition)
关键词 数字水印 离散余弦变化 模糊熵 均值量化 digital watermarking discrete cosine transform fuzzy entropy mean quantization
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