基于空域图像变换参数扰动的隐写术

摘要

在经典图像隐写算法研究中,使用的载体图像库多为实验室环境下的自然图像库,而在现实环境下,随着各种图像处理软件的流行,用户也越来越多地使用经图像处理后的图片.然而,如何利用图像处理来更好地指导隐写还未被系统地研究过.对此,以空域图像变换为例,提出参数扰动模型,将隐写带来的图像噪声隐藏在因参数微扰而带来的图像像素波动中,主动引入了图像集的失配因素.实验结果表明,在相同的隐写算法下,相较于直接使用原始图像库,隐写分析者在应对参数扰动的情况下的检错率有明显提高,从而显著增强了隐写算法的安全性,也使隐写算法更适用于现实环境.%In the research of state-of-the-art steganography algorithms, most of image sources were natural images in la-boratory environment. However, with the rapid development of image process tools and applications, images after image processing were widely used in real world. How to use image process to improve steganography has not been systemati-cally studied. Taking spatial image transform for consideration, a parameters' disturbance model was presented, which could hide the noise taken by steganography in the pixel fluctuation due to the disturbance. Meanwhile, it would intro-duce cover source mismatch for a steganalyzer. The experimental results show that, compared with using traditional im-age database, it can significantly enhance the security of steganography algorithms and accommodative to the real world situation.