彩色图像的量子置乱算法

量子图像置乱是量子图像处理的典型问题，目前国内外文献绝大多数都是针对像素位置实施置乱，这种置乱方法通过改变像素的空间位置，可使图像不再包含任何可视化信息，然而并未改变像素灰度值的统计特性，从而降低了置乱方案的安全性。针对该问题，首先基于改进的FRQI描述，提出了一种针对像素位置的置乱方法，然后基于改进的NEQR描述，提出了一种针对像素颜色的置乱方法。这些方法或者显著加强了位置置乱效果，或者显著改变了像素灰度值的统计特性。经典计算机上的仿真结果验证了提出方法的有效性。 

Quantum Scrambling Algorithm for Color Image

Quantum image scrambling is a typical problem of quantum image processing. At present, in the vast majority of literature at home and abroad, scrambling schemes are based on the position of the pixels, which can make the image no longer contain any visual information by changing the spatial position of the pixels. However, it does not change the statistical characteristics of the pixel gray value, so as to reduce the security of scrambling scheme. To address this problem, first, this paper proposes a new method of scrambling position of pixels based on the improved FRQI, and then, based on the improved NEQR, two methods of scrambling color of pixels are proposed. These methods either significantly enhance the position scrambling effect, or significantly change the statistical characteristics of the pixel gray value. The effectiveness of the proposed method is verified by the simulation results on a classical computer.