基于信息熵的图像置乱程度评价方法

Image scrambling degree evaluation method based on information entropy

在基于数字图像的信息隐藏算法中,如何评价图像置乱程度是一个很重要的问题。本文以图像分块信息熵与整体信息熵的比值作为置乱程度的判决标准,并同时利用各分块中互为相邻的像素差值的平均值作为加权系数进行加权平均提出一种新的图像置乱程度的评价方法,实验结果表明该评价方法可以有效地描述图像的置乱程度。

In the information hiding algorithms based on digital images, it is very important to evaluate the image scrambling degree. In this paper, The ratio of the block information entropy and the whole information entropy is used as criteria to measure image scrambling degree, and the adjacent pixel-value difference average is used as weighting coefficient to present a new image scrambling degree evaluation method. The results show that it is so effective to describe image scrambling degree.