计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 325-331.doi: 10.11896/JsJkx.190600103
彭伟1, 胡宁2, 胡璟璟1
PENG Wei1, HU Ning2 and HU Jing-Jing1
摘要: 图像隐写技术可以在互联网上传输各种数字图片中隐藏的敏感或秘密信息,在过去二十多年中得到了快速的发展,并被不法分子用来交换可能危害社会安全的信息。为消除这些危害,相应发展了各种图像隐写分析技术。通过检查可疑图片中隐藏的秘密信息,图像隐写分析可以提供数字法理证据。在图像隐写算法发展现状分析的基础上,将图像隐写分析算法分为专用和通用隐写分析算法两大类,对图像隐写分析技术进行了介绍和归纳。在专用算法方面,分别介绍了针对特定图像隐写算法和针对特定图像类型的图像隐写分析途径。在通用算法方面,介绍了基于图像特征的图像隐写分析方法的一般流程,归纳总结了图像隐写分析常用的几类图像特征。通过回顾图像隐写分析的已有工作,分析了图像隐写分析中采用的技术,包括基于机器学习的分类方法、特征选择方法等。最后,对图像隐写分析的未来研究发展方向做了简要的讨论。
中图分类号:
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