【摘要】 针对图像已有置乱算法普遍存在的不足,提出了一种新的索玛立方体方块匹配的图像置乱算法。算法先将原始图像的位平面进行交换以改变图像的像素灰度值,然后按照索玛立方体将变换的图像进行分块,选择索玛立方体的任意两种拼接方式,其中一种看作是原始图像元素的拼接方式,另一种是置乱图像的拼接方式,将两种拼接方式对应转换,从而实现图像的置乱。置乱后的图像表现为白噪声,不存在周期性恢复的安全性问题,置乱较为稳定,能很快达到理想的置乱效果,并且置乱算法对图像尺寸没有要求。实验结果表明,算法能有效地实现对灰度图像的置乱,并且有良好的视觉效果和定量评价结果,能抵抗一定的几何攻击。更多还原

【Abstract】 In allusion to common deficiency of existing scrambling algorithm,an image scrambling algorithm based on SOMA CUBE square matching was proposed.To scramble an image,bit-plane of the original image is firstly exchanged to change the pixel grayscale,and then this image is divided into blocks according to SOMA CUBE;finally,any two matching methods of SOMA CUBE are chosen,and one is seen as the matching way of original image elements,the otheris the scrambling image,and puting the twos conversion,so as to realize the image scrambling.The scrambling image shows the white noise is not the problem of cyclical recovery safety,scrambling is relatively stable,can quickly achieve ideal scrambling effect,and there are not requirements for image size.The experimental results show that this algorithm can effectively achieve the gray image scrambling,has a good visual effect and quantitative evaluation results,and can resist certain geometrical attack.更多还原