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Halftone Image Steganography with Flippability Measurement Based on Pixel Pairs

机译:半色调图像隐写术基于像素对的可轻型测量

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In recent years, many state-of-the-art steganographic schemes for halftone images have been proposed. Most of them only focus on the visual quality of the marked image but ignore the statistical security. In this paper, a novel steganographic scheme for halftone images is proposed, which focuses on both visual imperceptibility and statistical security. For halftone steganography, embedding messages can only be achieved by flipping pixels. The significant distortion will occur if the pixels are flipped arbitrarily in a halftone image. To select the optimal flipping pixels, we define the flippability measurement based on pixel pairs, which can provide a flippability score for each pixel in halftone images. The higher flippability score of a pixel means that the visual distortion caused by flipping the pixel will be smaller, so the pixels with high flippability scores can be selected as carriers. To achieve high embedding capacity and minimize the embedding distortions, syndrome-trellis code (STC) is employed in the embedding process. The experimental results demonstrate that the proposed scheme can achieve high embedding capacity and realize acceptable statistical security with high visual imperceptibility.
机译:近年来,对半色调图像许多国家的最先进的隐写方案被提出。他们中的大多数只专注于水印图像的视觉质量,但忽略了统计保障。在本文中,对半色调图像一个新的隐写方案建议,其重点是两个视觉隐蔽性和统计的安全性。对于半色调隐秘,嵌入信息只能通过翻转像素来实现的。如果像素在半色调图像任意地翻转将发生显著失真。选择最佳翻转像素,我们定义基于像素对,其可以提供flippability分数在半色调图像的每个像素的测量flippability。的像素单元,其视觉失真引起翻转像素会更小,因此以高flippability分数的像素的较高flippability得分可以被选择作为载体。为了实现高嵌入容量和最小化嵌入扭曲,综合征格码(STC),采用在嵌入处理。实验结果表明,该方案可以实现高嵌入容量,并实现高隐蔽性的视觉可接受的统计保障。

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