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中文摘要：
提出一种具有大容量、低复杂性的鲁棒水印算法,主要适合于（但不局限于）JPEG图像和MPEG视频流的实时水印嵌入与检测,因为该算法直接运行于DCT（discrete cosine transform）块数据上.算法主要通过在感知范围内修改DCT块的中低频系数来调制块能量.在能量调制过程中,利用Watson视觉感知模型推导出一条准则,用于限制DCT系数的修改幅度.该系统具有较大的水印容量,可实现在512×512图像中嵌入2 048比特.实验表明,算法不仅具有较好的透明性,而且对一些常见的攻击（如高斯噪声、低通滤波、JPEG压缩、增减亮度等）和部分几何攻击（如线性偏移、剪切等）具有较好的鲁棒性.
英文摘要：
In this paper, a robust algorithm with large data payload and high computational efficiency is proposed, which is suitable for real-time watermarking of JPEG or MPEG streams because it operates directly on DCT （discrete cosine transform） blocks. The proposed method is based on modifying the low-mid frequency DCT coefficients imperceptibly to modulate block energy. During the modulation, a theorem deduced from the Watson＇s perceptual model is employed to restrict the modified magnitude of coefficients. This system is capable of embedding 2048 bits of information in images with dimensions 512×512 pixels. Experimental results indicate that the presented scheme is transparent and robust to significant valumetric distortions （including additive noise, low-pass filtering, lossy compression and valumetric scaling） and a part of geometric distortions.
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