Nowadays, data hiding techniques are one of the most growing researching areas. This paper introduces a quadruple histogram shifting-based reversible data embedding approach for digital images. Pixel differences distribution is utilized for maximizing the hiding payload capacity while preserving minimum degradations for stego-images. The improved histogram-based reversible data embedding algorithm is designed with the potential of maximizing the hiding payload capacity while keeping a perfect stego-image quality with data lossless. The proposed algorithm utilizes a 3 × 3 -box predictive filter and can hide 2-bits per pixel to increase the payload capacity. Firstly, an embedding phase has been performed by applying a numerical ordering strategy of the pixels to be predicted by the 3-by-3 box filter. The proposed algorithm is performing this ordering strategy in four stages to avoid affecting the follow-up prediction of all other pixels. In the other side, an extracting phase has been performed by reversing the four stages to generate the embedded data. The comparison with state-of-the-art schemes is performed to validate and guarantee the prevalence of the improved histogram-based reversible data embedding approach. The obtained test results demonstrated and confirmed that the proposed improved histogram-based reversible data embedding approach not only can improve the payload capacity but also can save the stego-image quality.

如今，数据隐藏技术是发展最快的研究领域之一。本文介绍了一种基于四重直方图移位的数字图像可逆数据嵌入方法。像素差异分布用于最大化隐藏有效负载容量，同时保留隐蔽图像的最小降级。改进的基于直方图的可逆数据嵌入算法被设计为具有最大化隐藏有效载荷容量的潜力，同时保持完美的隐身图像质量且数据无损。所提出的算法利用3×3框预测滤波器，每像素可隐藏2位，以增加有效负载容量。首先，通过应用将由3×3盒式滤波器预测的像素的数值排序策略来执行嵌入阶段。所提出的算法正在四个阶段执行该排序策略，以避免影响所有其他像素的后续预测。另一方面，通过反转四个阶段以生成嵌入数据来执行提取阶段。进行了与最新方案的比较，以验证和保证改进的基于直方图的可逆数据嵌入方法的普遍性。获得的测试结果证明并证实了所提出的改进的基于直方图的可逆数据嵌入方法不仅可以提高有效载荷容量，而且可以节省隐身图像的质量。进行了与最新方案的比较，以验证和保证改进的基于直方图的可逆数据嵌入方法的普遍性。获得的测试结果证明并证实了所提出的改进的基于直方图的可逆数据嵌入方法不仅可以提高有效载荷容量，而且可以节省隐身图像的质量。进行了与最新方案的比较，以验证和保证改进的基于直方图的可逆数据嵌入方法的普遍性。获得的测试结果证明并证实了所提出的改进的基于直方图的可逆数据嵌入方法不仅可以提高有效载荷容量，而且可以节省隐身图像的质量。