Prior to the publication of our article in 2018, to our knowledge, there were no methods of achieving a favourable trade-off between the payload in bits-per-pixel (bpp) and the quality of the reconstructed image in terms of PSNR or SSIM. Indeed, a high payload value would lead to a degradation of the reconstructed image’s quality. Moreover, it should also be noted that almost all of the other state-of-the-art methods at the time, were based on Least Significant Bit (LSB) substitution and made little use of the redundancy between pixels in the clear domain to realize the data embedding of a secret message. In our proposed work [2], we have taken the opposing view by developing a Most Significant Bits (MSB) prediction-based reversible data hiding in encrypted images (RDHEI) method. In the EPE-HCRDH approach, the original image is encrypted without modification and information about the location of all pixels which cannot be correctly predicted is embedded by MSB substitution. In order to localize the prediction errors, flags of consecutive bits equal to 1 are used. With this information, the data hider can detect all the bits which can be marked and substitute them with bits of a secret message. In this case, the payload is slightly lower than 1 bpp, but perfect reversibility is achieved. So, the proposed EPE-HCRDH approach provides a high payload with a little complexity. But as highlighted by Dragoi and Coltuc [1], the fact of using flags, so that the data hider can embed a secret message introduces security flaws in the method. Despite this, the method has attracted the attention of many researchers, with 100 citations (according to Google Scholar on November 9, 2020) in several peer-reviewed journals of excellent reputation (IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY [3], IEEE TRANSACTIONS ON MULTIMEDIA [4]_[7], IEEE ACCESS [8], IEEE TRANSACTIONS ON SIGNAL PROCESSING, and IEEE TRANSACTION ON DEPENDABLE AND SECURE COMPUTING [9]. Today, we can say that high capacity RDHEI has become a hot topic.

中文翻译：

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反驳：论MSB预测加密图像中可逆数据隐藏的安全性


据我们所知，在 2018 年发表文章之前，没有任何方法可以在每像素位数 (bpp) 的有效负载与 PSNR 或 SSIM 方面的重建图像质量之间实现有利的权衡。事实上，高有效负载值会导致重建图像质量下降。此外，还应该指出的是，当时几乎所有其他最先进的方法都是基于最低有效位（LSB）替换，并且很少利用明域中像素之间的冗余来实现秘密消息的数据嵌入。在我们提出的工作 [2] 中，我们通过开发一种基于最高有效位 (MSB) 预测的可逆数据隐藏在加密图像 (RDHEI) 方法中，采取了相反的观点。在EPE-HCRDH方法中，原始图像不加修改地被加密，并且通过MSB替换来嵌入所有无法正确预测的像素的位置信息。为了定位预测误差，使用等于1的连续位的标志。有了这个信息，数据隐藏者就可以检测所有可以标记的位，并将它们替换为秘密消息的位。在这种情况下，有效负载略低于 1 bpp，但实现了完美的可逆性。因此，所提出的 EPE-HCRDH 方法提供了较高的有效负载，但复杂性较低。但正如 Dragoi 和 Coltuc [1] 所强调的那样，使用标志以便数据隐藏者可以嵌入秘密消息的事实会在该方法中引入安全缺陷。 尽管如此，该方法还是吸引了许多研究人员的关注，在几家享有盛誉的同行评审期刊（IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY [3]， IEEE TRANSACTIONS ON MULTIMEDIA [4]_[7]、IEEE ACCESS [8]、IEEE TRANSACTIONS ON SIGNAL PROCESSING 和 IEEE TRANSACTION ON DEPENDABLE AND SECURE COMPUTING [9] 今天，我们可以说高容量 RDHEI 已成为一个热门话题。 。