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

机译:通过组合称重的STEGO残差和最大后验概率盖估算器来定位隐写有效载荷

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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)Repalcate Seteganoguge,通过组合加权 - Setego(WS)残差和最大后验概率(MAP)覆盖估计器来提出改进的覆盖估计方法。首先,使用WS残差用于执行初步有效载荷位置。接下来,将初步位置结果应用于改进的地图覆盖估计方法作为先验信息,从而获得更准确的覆盖估计算法。最后,计算剩余以导出最终有效载荷位置结果。先前的实验证明,该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,它具有良好的稳健性。

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