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A New Robust Image Adaptive Steganography Method in Wavelet Domain

机译:小波域中的一种新的鲁棒图像自适应隐写法方法

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A new robust adaptive data hiding method in the wavelet transform domain of an image is introduced in this paper. The proposed steganography method embeds the secret data in the blocks of an image that seems to be noisy based on the bit plane complexity of each block and does not destroy the co-occurrence matrix of wavelet coefficient. Most of the steganalysis methods are based on the moments of histogram or co-occurrence matrix of an image. Since the histogram is one-dimensional case of co-occurrence matrix, we embed the data in blocks which causes minimal changes to the co-occurrence matrix. In our method we use the one-third and rounding methods for embedding data in wavelet coefficients, and retain the co-occurrence matrix of wavelet coefficient. Our method has more robustness in comparison with other steganography methods in the same capacity.
机译:本文介绍了图像的小波变换域中的新的鲁棒自适应数据隐藏方法。所提出的隐写方法在图像的块中嵌入了似乎基于每个块的位平面复杂度的图像块中的秘密数据,并且不会破坏小波系数的共发矩阵。大多数隐分方法基于图像的直方图或图像的共发生矩阵的时刻。由于直方图是共发生矩阵的一维情况,因此我们在块中嵌入数据,这导致对共发生矩阵的最小变化。在我们的方法中,我们使用三分之一和圆形方法来嵌入小波系数中的数据,并保留小波系数的共发矩阵。我们的方法与相同容量相同的隐写法方法相比具有更高的鲁棒性。

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