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Locating steganographic payloads by combining weighed-stego residuals and maximum a posteriori probability cover estimator

机译:通过合并加权隐身残差和最大后验概率覆盖估计器来定位隐匿有效载荷

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For the least significant bit (LSB) repalcement steganography, an improved cover estimation method is proposed by combining the weighted-stego(WS) residuals and the maximum a posteriori probability (MAP) cover estimator. First, the WS residuals are used to perform preliminary payload location. Next, the preliminary location result is applied to the improved MAP cover estimation method as a priori information so that a more accurate cover estimation algorithm will be obtained. Finally, the residual is computed to derive the final payload location result. Previous experiments have proved that the proposed method can improve the accuracy of payload location for the LSB replacement for either the spatial domain BMP image or the JPEG decompression image. It has a good robustness for different embedding rates.
机译:对于最低有效位(LSB)替换隐写术,提出了一种改进的覆盖估计方法,该方法将加权加权(WS)残差与最大后验概率(MAP)覆盖估计器结合在一起。首先,WS残差用于执行初步的有效负载定位。接下来,将初步定位结果作为先验信息应用于改进的MAP覆盖估计方法,以便获得更准确的覆盖估计算法。最后,计算残差以得出最终的有效载荷定位结果。先前的实验已经证明,所提出的方法可以提高用于空间域BMP图像或JPEG解压缩图像的LSB替换的有效载荷位置的准确性。对于不同的嵌入率,它具有良好的鲁棒性。

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