一种改进类提升方案的双彩色图像加密系统

Dual-color Image Encryption System with Improved Lifting-like Scheme

如今图像信息安全面临着严峻的考验,而图像加密技术是应对这一考验最有效的手段之一。由于提升方案在图像加密中具有更快的加解密速度和良好的安全性,所以越来越多基于提升方案的加密系统被提出。文中提出了一种改进类提升方案的双彩色图像加密系统。首先,将彩色图像分成3个通道:R通道、G通道和B通道。然后,将每个图像分别当成魔方的6个面,使用随机序列控制魔方的旋转,从而达到置乱和加密图像的效果。其次,为了使整个系统具有更高的安全性,将改进类提升方案的更新和预测函数由类感知器网络(Perceptron-Like Network,PLN)代替。与原先运算简单的线性函数相比,PLN具有更加复杂的计算和不可预测性。通过所提结构得到的加密图像具有更高的加密质量,因此可以更好地将图像信息扩散到各个像素之间。大量的实验结果表明,该系统可以很好地抵抗各种攻击,具有很高的安全性;并且本系统对普通图像和密钥都具有很强的敏感性,因此可以应用于实际的图像加密。

Today’s image information security is facing a severe challenge,and image encryption technology is one of the most effective means to solve this problem.Since the lifting scheme has faster encryption and decryption speed and good security in image encryption,more and more encryption systems based on lifting schemes have been proposed.This paper proposes a dual-color image encryption system with an improved class-boosting scheme.First,the color image is divided into three channels:R channel,G channel and B channel.Then each image is regarded as six faces of the Rubik’s Cube,and the rotation of the Rubik’s Cube is controlled by a random sequence,to achieve the effect of scrambling and encrypting the image.Secondly,in order to make the entire system more secure,the update and prediction functions of the improved lifting-like scheme are replaced by the perceptron-like network(PLN).Compared with the original simple linear function,PLN has more complex calculations and unpredictability.The encrypted image obtained by the structure proposed in this paper has higher encryption quality,so the image information can be better diffused to each pixel.Experiment results show that the system can resist various attacks very well and has high security.And this system is very sensitive to common images and keys,so it can be applied to actual image encryption.