基于图像离散余弦变换(DCT)交流系数的拉普拉斯分布模型，提出了一种盲提取数字图像信息隐藏算法。

The ac coefficients of an image's Discrete Cosine Transform (DCT) are best approximated by Laplacian distribution model. Based on this model, the blind information hiding algorithm was proposed.

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针对离散余弦变换（DCT）系数分布模型类型存在的异议，研究并比较了拉普拉斯模型和广义高斯模型。

There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.

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对于边界区域，建立了基于对比度的像素选取方法进行融合处理。实验对比结果表明，该方法明显优于拉普拉斯金字塔融合算法和离散小波变换融合算法。

The part between clear part and blurring one is fused by the choice of the corresponding pixel based on the contrast. The experiments show that the proposed method outperforms them…

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