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Robust Image Watermarking Under Pixel Wise Masking Framework

机译:在像素下的威利掩蔽框架下的鲁棒图像水印

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The current paper presents a robust watermarking method for still images, which uses the similarity of discrete wavelet transform and human visual system (HVS). The proposed scheme makes the use of pixel wise masking in order to make binary watermark imperceptible to the HVS. The watermark is embedded in the perceptually significant, spatially selected detail coefficients using sub band adaptive threshold scheme. The threshold is computed based on the statistical analysis of the wavelet coefficients. The watermark is embedded several times to achieve better robustness. Here, a new type of non-oblivious detection method is proposed. The improvement in robustness performance against different types of deliberate and non-intentional image impairments (lossy compression, scaling, cropping, filtering etc) is supported through experimental results. The reported result also shows improvement in visual and statistical invisibility of the hidden data. The proposed method is compared with a state of the art frequency based watermarking technique, highlighting its performance. This algorithmic architecture utilizes the existing allocated bandwidth in the data transmission channel in a more efficient manner.
机译:目前纸张呈现了一种稳健的静止图像的水印方法,其使用离散小波变换和人类视觉系统(HV)的相似性。所提出的方案使得使用像素明智的掩模,以使二进制水印不可察觉到HV。使用子带自适应阈值方案嵌入水印嵌入在感知上显着的空间所选择的细节系数中。基于小波系数的统计分析来计算阈值。水印嵌入了几次以实现更好的稳健性。这里,提出了一种新型的非倾斜检测方法。通过实验结果支持对不同类型的刻意和非故意图像损伤(损坏压缩,缩放,裁剪,滤波,过滤等)的鲁棒性性能的改善。报告的结果还显示了隐藏数据的视觉和统计隐形的改进。该方法与基于频率的水印技术的状态进行了比较,突出显示其性能。该算法架构以更有效的方式利用数据传输信道中的现有分配带宽。

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