The network security transmission of digital images needs to solve the dual security problems of content and appearance. In this paper, a visually secure image compression and encryption scheme is proposed by combining compressed sensing (CS) and regional energy. The plain image is compressed and encrypted into a secret image by CS and zigzag confusion. Then, according to the regional energy, the secret image is embedded into a carrier image to obtain the final visual secure cipher image. A method of hour hand printing (HHP) scrambling is proposed to increase the pixel irrelevance. Regional energy embedding reduce the damage to the visual quality of carrier image, and the different embedding positions between images greatly enhances the security of the encryption algorithm. Furthermore, the hyperchaotic multi-character system (MCS) is utilized to construct measurement matrix and control pixels. Simulation results and security analyses demonstrate the effectiveness, security and robustness of the propose algorithm.

中文翻译：

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基于压缩感知和区域能量的视觉安全图像加密方案

数字图像的网络安全传输需要解决内容和外观的双重安全问题。本文结合压缩感知（CS）和区域能量，提出了一种视觉安全的图像压缩和加密方案。通过CS和之字形混淆，将普通图像压缩并加密为秘密图像。然后，根据区域能量，将秘密图像嵌入到载体图像中以获得最终的视觉安全密码图像。提出了一种时针打印（HHP）加扰的方法，以增加像素的不相关性。区域能量嵌入减少了对载波图像视觉质量的损害，图像之间不同的嵌入位置大大提高了加密算法的安全性。此外，超混沌多字符系统（MCS）用于构建测量矩阵和控制像素。仿真结果和安全性分析证明了该算法的有效性，安全性和鲁棒性。