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Adaptive edge masking based on TV decomposition and adjacent similarity for digital watermarking

机译:基于电视分解和相邻相似度的自适应边缘掩盖技术用于数字水印

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Digital watermarking algorithms usually focus on texture masking due to the increasing noise insensitivity in texture regions. However, not all images have abundant texture regions. For images containing primarily edges and smooth regions, an image watermark should be embedded in edge areas. An adaptive edge-masking based on Total Variation (TV) decomposition for digital watermarking is proposed in this paper. First, edge detection based on the TV decomposition is applied to get accurate edges. After that, edge masking tends to be effective when the hidden signal has a similar direction and frequency as edges in the adjacent area. At last, the embedding intensity and position are determined adaptive to the image content. Experimental results show that our algorithm has good imperceptibility and is more robust than the algorithm without edge masking.
机译:由于纹理区域中噪声不敏感度的增加,数字水印算法通常专注于纹理掩盖。但是,并非所有图像都具有丰富的纹理区域。对于主要包含边缘和平滑区域的图像,应在边缘区域中嵌入图像水印。提出了一种基于全变分(TV)分解的自适应边缘掩盖技术,用于数字水印。首先,基于TV分解的边缘检测被应用以获得准确的边缘。此后,当隐藏信号的方向和频率与相邻区域中的边缘相似时,边缘掩盖趋于有效。最后,确定嵌入强度和位置以适应图像内容。实验结果表明,与没有边缘遮罩的算法相比,该算法具有良好的感知能力和鲁棒性。

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