采用小波变换的抗剪切图像加密算法  

The image encryption algorithm for anti-cropping based on wavelet transform

作　　者：吕翔 陈利强 陆岳峰 赵宇梵 LYU Xiang;CHEN Liqiang;LU Yuefeng;ZHAO Yufan(College of Physics and Electronic Information Engineering,Zhejiang Normal University,Jinhua 321004,China)

机构地区：[1]浙江师范大学物理与电子信息工程学院,浙江金华321004

出　　处：《浙江师范大学学报（自然科学版）》2021年第4期381-388,共8页Journal of Zhejiang Normal University:Natural Sciences

基　　金：浙江省科技厅创新团队项目(2010R5007)。

摘　　要：为了提高图像的加密抗剪切性能,利用小波变换分离高频和低频分量、图像空域尺寸减小的特性,实现对重点信息的重点保护.由于小波变换的技术要求使用16位像素值代替8位像素值,因此,提出提高储存空间的可能性.仿真实验表明:该算法具有较大的密钥空间,合理的时间花费,并且对剪切攻击有较好的抵抗性能,超过同类算法;此外,能和其他图像加密算法结合,提高其抗剪切性能;与后期图像降噪算法相比,在加密过程中就考虑了降噪,效果更佳.该算法能在图像信息的安全完整传输中得到应用,能保护医学影像、军事图像的安全完整传输.In order to improve the anti-cropping performance of image encryption,wavelet transform is used to separate high-frequency and low-frequency components,and the spatial size of image is reduced to achieve the key information protection.Due to the technical requirements of wavelet transform,16-bit pixel value is nee-ded to replace 8-bit pixel value,so the possibility of improving the storage space is proposed.In addition,it can be combined with other image encryption algorithms to improve its anti-cropping performance.Compared with the later image denoising algorithm,the denoising is considered in the encryption process,and the effect is better.This algorithm can be applied in the safe and complete transmission of image information.It can pro-tect the safe and complete transmission of medical image and military image.

关 键 词：小波变换 图像加密 抗剪切攻击 图像降噪 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]