JPEG Steganography with Side Information from the Processing Pipeline

Quentin Giboulot, R. Cogranne, P. Bas
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引用次数: 13

Abstract

The current art in schemes using deflection criterion such as Mi-POD for JPEG steganography is either under-performing or on par with distortion-based schemes. We link this lack of performance to a poor estimation of the variance of the model of the noise on the cover image. In this paper, we propose a method to better estimate the variances of DCT coefficients by taking into account the dependencies between pixels that come from the development pipeline. Using this estimate, we are able to extend statistically-informed steganographic schemes to the JPEG domain while significantly outperforming the current state-of-the-art JPEG steganography. An extension of Gaussian Embedding in the JPEG domain using quantization error as side-information is also formulated and shown to attain state-of-the-art performances.
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来自处理管道的带有侧信息的JPEG隐写
目前使用偏转准则的方案,如用于JPEG隐写的Mi-POD,要么性能不佳,要么与基于失真的方案相当。我们将这种性能的缺乏与封面图像上噪声模型方差的不良估计联系起来。在本文中,我们提出了一种方法,通过考虑来自开发管道的像素之间的依赖关系来更好地估计DCT系数的方差。使用这个估计,我们能够将统计信息隐写方案扩展到JPEG域,同时显著优于当前最先进的JPEG隐写。在JPEG域中使用量化误差作为侧信息的高斯嵌入的扩展也被制定并显示达到最先进的性能。
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