Pan I-Hui, Huang Ping-Sheng, Chang Te-Jen, Chen Hsiang-Hsiung
Air Command and Staff College, National Defense University, Taoyuan 335, Taiwan.
Department of Electronic Engineering, Ming Chuan University, Taoyuan 333, Taiwan.
Sensors (Basel). 2022 Jun 28;22(13):4872. doi: 10.3390/s22134872.
The rapid development of internet and social media has driven the great requirement for information sharing and intelligent property protection. Therefore, reversible information embedding theory has marked some approaches for information security. Assuming reversibility, the original and embedded data must be completely restored. In this paper, a high-capacity and multilayer reversible information hiding technique for digital images was presented. First, the integer Haar wavelet transform scheme converted the cover image from the spatial into the frequency domain that was used. Furthermore, we applied dynamic threshold analysis, the parameters of the predicted model, the location map, and the multilayer embedding method to improve the quality of the stego image and restore the cover image. In comparison with current algorithms, the proposed algorithm often had better embedding capacity versus image quality performance.
互联网和社交媒体的迅速发展推动了对信息共享和知识产权保护的巨大需求。因此，可逆信息嵌入理论为信息安全指明了一些方法。假设具有可逆性，原始数据和嵌入数据必须能够完全恢复。本文提出了一种用于数字图像的高容量多层可逆信息隐藏技术。首先，整数哈尔小波变换方案将载体图像从空间域转换到所使用的频域。此外，我们应用动态阈值分析、预测模型的参数、位置映射和多层嵌入方法来提高隐秘图像的质量并恢复载体图像。与当前算法相比，所提出的算法在嵌入容量与图像质量性能方面通常具有更好的表现。
