可逆信息隐藏（reversible data hiding,RDH）失真包括像素失真和结构失真。考虑到人类视觉系统（human visual system,HVS）对图像结构失真的高敏感性，本文提出使用结构相似性指数（structural similarity index measure,SSIM）作为RDH的评价指标。首先，通过分析峰值信噪比（peak signal-to-noise ratio,PSNR）与SSIM的理论增益关系，实现对两个指标的动态同步评估。随后，提出一种基于纹理区域优先选择的高SSIM的RDH方法。将载体图像划分为4个独立像素集进行图像预处理，精准找到纹理区域，进而按照背景复杂度由高到低的顺序嵌入信息。实验结果表明，优先在纹理区域中嵌入信息的策略减小了图像结构失真。在相同的嵌入率下，SSIM值及图像视觉质量均得到了提高。
The distortions in reversible data hiding (RDH) include pixel distortion and structural distortion. With the high sensitivity of the human visual system to structural distortions in images considered, this paper adopted the structural similarity index measure (SSIM) as the evaluation metric for RDH. First, by analyzing the theoretical gain relationship between peak signal-to-noise ratio (PSNR) and SSIM, the dynamic and simultaneous evaluation of the two metrics was realized. Subsequently, a high-SSIM RDH method based on texture region prioritization was proposed. Image preprocessing was performed by dividing the carrier image into four independent pixel sets, and texture regions were accurately located. Data was then embedded in descending order of background complexity. Experimental results show that the strategy of prioritizing data embedding in texture regions reduces the structural distortion of images. At the same embedding rate, the SSIM value is improved, and the visual quality of images is enhanced.
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