云模型图像置乱算法  

Image scrambling algorithm based on cloud model

作　　者：范铁生[1] 张忠清[1] 孙静[1] 罗雪春[2] 陆贵强[3] 张璞[1] 

机构地区：[1]辽宁大学信息学院,沈阳110036 [2]辽宁大学文科综合实验中心,沈阳110036 [3]辽宁广播电视大学信息化建设中心,沈阳110034

出　　处：《计算机应用》2013年第9期2497-2500,共4页journal of Computer Applications

摘　　要：针对目前数字图像置乱算法在双重置乱方面的欠缺问题,提出一种新的云模型图像置乱算法。该算法利用三维云模型生成的函数值来改变图像像素位置和像素值,实现了双重置乱。经实验验证以及定量定性分析,置乱图像呈现白噪声,真正实现了图像置乱,并不存在周期性恢复的安全问题,该算法能较快达到理想的置乱效果,且能抵抗一定的剪切、加噪、滤波以及缩放攻击;证明了该算法的有效性和合理性,可以较好地应用于图像置乱。Concerning the deficiency of the digital image scrambling algorithm in double scrambling, an image scrambling algorithm based on cloud model was proposed. The algorithm used the function value generated by the three-dimensional cloud model to change the positions and values of the image pixels, to achieve a double scrambling. The experimental verification as well as quantitative and qualitative analysis show that the scrambling image renders white noise and realizes the image scrambling. There is no security issue on cyclical recovery. The algorithm can quickly achieve the desired effect, resistant to shear, plus noise, filtering and scaling attacks. This proves that the algorithm is effective and reasonable, and also can be better applied to the image scrambling.

关 键 词：图像置乱 云模型 双重置乱 置乱程度 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构] TP311.564.2[自动化与计算机技术—计算机科学与技术]