基于图像视觉复杂度计算的分类信息隐藏图像库

在信息隐藏技术的研究中,目前还没有一个公认通用的信息隐藏实验图库,使得在对基于图像的信息隐藏算法进行评价时,缺少一个统一客观的图库作为基础。针对这一问题,提出了一种根据图像视觉复杂度建立图像库的方法。利用Watson视觉模型,通过对相邻像素块间视觉感知度变化的测量,定义了图像视觉复杂度计算模型。根据该模型,可以计算得到不同视觉复杂度的图像。仿真实验结果表明,以此计算模型得到的图像复杂度值与视觉主观感知基本一致。按照计算得到的图像复杂度的范围,可以从海量的图像中甄选不同复杂度值的图像作为实验用图。

Image library building in information hiding research

Aimed at the lack of the image library building standard in information hiding and correlative research,a method was proposed to build an image library based on the image visual complexity.Firstly,the computation model of the image complexity was defined with the Watson visual model.Based on the model the image visual complexity was obtained.The simulation experiment demonstrates that the result from this computation model is basically consistent with the subjective judgment.Acoording to this scale of compl...