量子索引图像的描述方法与隐写算法

Description Method and Steganography of Quantum Indexed Images

为解决量子计算机上索引图像的描述问题,提出一种量子索引图像描述方法.该方法中量子索引图像包含量子数据矩阵和量子调色板矩阵2种数据结构,每种数据结构均基于量子比特序列的基态进行信息表示;在此基础上,提出一种基于EzStego的量子索引图像信息隐写算法,首先计算量子调色板矩阵中每个颜色的相对亮度值,然后根据相对亮度值对颜色排序并分配亮度序号,最后根据每个颜色的亮度序号及其位置索引,结合嵌入的秘密信息对量子数据矩阵中的像素索引值进行更新,得到嵌入秘密信息后的量子数据矩阵.利用Matlab在经典计算机上采用USC-SIPI图像数据库数据进行仿真实验,从视觉质量、嵌入容量和鲁棒性三方面验证了该方法的可行性和有效性.实验结果表明,文中方法可在将来的量子计算机上执行.

In order to solve the problem of indexed image description on quantum computers, a quantum indexed image description method was proposed. In this method, a quantum indexed image consists of 2 data structures: quantum data matrix and quantum palette matrix. Each data structure represents information based on basic states of qubit sequence. Based on the proposed quantum description method, a quantum indexed image steganography based on EzStego was proposed. In this algorithm, first calculate relative brightness value of each color in the quantum palette matrix;then sort these colors according to their relative brightness values and assign a brightness number to each color;finally, according to the brightness number of each color and its position index, and combined with embedded secret message, the pixel index values in the quantum data matrix are updated. At last, a quantum data matrix with embedded message is obtained. The experiments are implemented in Matlab language with data from USC-SIPI image database on a classical computer. The experimental results verify the feasibility and validness of this scheme from three aspects: visual quality, embedding capacity and robustness. The proposed method could be executed on future quantum computers.