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Pixel-Value-Ordering based Reversible Information Hiding Scheme with Self-Adaptive Threshold Strategy

机译:具有自适应阈值策略的基于像素值排序的可逆信息隐藏方案

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Pixel value ordering (PVO) hiding scheme is a kind of data embedding technique that hides a secret message in the difference of the largest and second largest pixels of a block. After that, the scholars improved PVO scheme by using a threshold to determine whether the block is smooth or complex. Only a smooth block can be used to hide information. The researchers analyzed all the possible thresholds to find the proper one for hiding secret message. However, it is time consuming. Some researchers decomposing the smooth block into four smaller blocks for hiding more messages to increase image quality. However, the complexity of the block is more important than block size. Hence, this study proposes an ameliorated method. The proposed scheme analyzes the variation of the region so as to judge the complexity of the block and applies quantification strategy to quantified the pixel for making sure the pixel is reversible. It adopts an adaptive threshold generation mechanism to find the proper threshold for different images. The results show that the image quality of the proposed scheme is higher than that of the other methods. The proposed scheme can also let the user adjust the hiding rate to achieve higher image quality or hiding capacity.
机译:像素值排序(PVO)隐藏方案是一种数据嵌入技术,可将秘密消息隐藏在块的最大像素和第二大像素之间。此后,学者们通过使用阈值确定块是平滑还是复杂来改进了PVO方案。仅平滑块可用于隐藏信息。研究人员分析了所有可能的阈值,以找到隐藏秘密消息的合适阈值。但是,这很耗时。一些研究人员将平滑块分解为四个较小的块,以隐藏更多消息以提高图像质量。但是,块的复杂度比块大小更重要。因此,这项研究提出了一种改进的方法。所提出的方案分析区域的变化从而判断块的复杂度,并应用量化策略对像素进行量化以确保像素是可逆的。它采用自适应阈值生成机制为不同图像找到合适的阈值。结果表明,该方案的图像质量高于其他方法。所提出的方案还可以使用户调整隐藏率以实现更高的图像质量或隐藏能力。

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