ABSTRACT The dual stego images based on data hiding has become popular in recent days. Since the embedding rate in dual stego images is very high. This paper proposes a new data encoding method based on maximum to the minimum histogram in reversible data hiding. This method estimates the encoded intensity from the message intensity and embeds the encoded intensity in the cover image. The stego image quality decreases the intensity of the hidden data which is high. The intensity of the data must be kept low to maintain a high-quality stego image. It is achieved using data encoding. Therefore, the proposed method uses new data encoding which converts the higher histogram data to lower intensity and the lower histogram data to higher intensity during the data embedding process. In the extraction process, the encoded intensities are decoded to message intensities to obtain the original data. The proposed data hiding approach has improved in terms of image quality (PSNR), structure similarity index measurements and embedding rate.

中文翻译：

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可逆数据隐藏中基于最大最小直方图的新数据编码

摘要 近年来，基于数据隐藏的双重隐写图像变得流行起来。由于双隐写图像的嵌入率非常高。本文提出了一种新的基于最大到最小直方图的可逆数据隐藏数据编码方法。该方法根据消息强度估计编码强度，并将编码强度嵌入到封面图像中。隐写图像质量降低了高隐藏数据的强度。数据的强度必须保持较低以保持高质量的隐写图像。它是使用数据编码实现的。因此，所提出的方法使用新的数据编码，在数据嵌入过程中将较高的直方图数据转换为较低的强度，将较低的直方图数据转换为较高的强度。在提取过程中，编码强度被解码为消息强度以获得原始数据。所提出的数据隐藏方法在图像质量（PSNR）、结构相似性指标测量和嵌入率方面都有所提高。