Chen Xianyi, Zou Mengling, Yang Bin, Wang Zhenli, Wu Nannan, Qi Lili
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China.
Math Biosci Eng. 2021 Feb 7;18(2):1722-1739. doi: 10.3934/mbe.2021089.
Traditional image encryption technology usually encrypts a normal image into a noise matrix, which can protect the image in a certain extent, but noise appearance is easy to arouse the suspicion of attackers. To avoid this problem, a method of encrypting image into carrier image with visual meaning is proposed. Inspired by the existing visually secure encryption technique, we proposed an improved method based on the integer wavelet transform (IWT) and prediction scheme. The secret image is hidden in the high frequency coefficients of IWT to achieve good invisibility, and prediction error are used to replace the pixels of the carrier image to improve the final image quality. Experimental results and analysis show that the quality of the encrypted image is 3.5 dB better than that of the previous ones.
传统的图像加密技术通常将普通图像加密成一个噪声矩阵，这在一定程度上可以保护图像，但噪声外观很容易引起攻击者的怀疑。为避免这个问题，提出了一种将图像加密到具有视觉意义的载体图像中的方法。受现有视觉安全加密技术的启发，我们提出了一种基于整数小波变换（IWT）和预测方案的改进方法。秘密图像隐藏在IWT的高频系数中以实现良好的不可见性，并且使用预测误差来替换载体图像的像素以提高最终图像质量。实验结果与分析表明，加密图像的质量比以前的图像提高了3.5dB。
