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Effect of cover quantization on steganographic fisher information

机译:掩盖量化对隐写渔民信息的影响

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This article presents an extension of the square root law of imperfect steganography to consider the effects of quantization on the steganographic Fisher information. We make the assumption that the cover elements are quantized i.i.d. samples drawn from an underlying continuous-valued ‘precover’ distribution. In the fine quantization limit, the Fisher information exhibits power scaling with an exponent determined jointly by the smoothness of the precover distribution and the properties of the embedding function. This extension is relevant for understanding the effects of pixel color depth and JPEG quality factor on secure payload of imperfect steganography realized using a mutually independent embedding operation.
机译:本文介绍了不完美隐写术的平方根定律,以考虑量化对隐写术Fisher信息的影响。我们假设覆盖元素是i.i.d量化的。从基础连续值“ precover”分布中抽取的样本。在精细量化极限中,Fisher信息表现出幂缩放,并且幂指数由预覆盖分布的平滑度和嵌入函数的属性共同确定。此扩展与理解像素颜色深度和JPEG质量因数对使用相互独立的嵌入操作实现的不完美隐写的安全有效载荷的影响有关。

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