降低特征类内离散度的JPEG图像隐写分析
收稿日期: 2017-09-24
修回日期: 2018-04-10
网络出版日期: 2019-01-31
基金资助
国家自然科学基金（No.61602511，No.61572518，No.U1636202）资助
Steganalysis of JPEG Images Based on Reducing Between-Class Scatter
Received date: 2017-09-24
Revised date: 2018-04-10
Online published: 2019-01-31
汪然, 牛少彰, 平西建, 张涛, 桑晓丹 . 降低特征类内离散度的JPEG图像隐写分析[J]. 应用科学学报, 2019 , 37(1) : 41 -50 . DOI: 10.3969/j.issn.0255-8297.2019.01.005
Compared with the process of embedding, image contents make a more significant impact on the differences of image statistical characteristics. This makes the image steganalysis to be a classification problem with bigger within-class scatter distances and smaller between-class scatter distances. In this paper, a new steganalysis framework which can reduce the differences of image statistical characteristics caused by various content and processing methods is proposed. The given images are classified according to the texture complexity. Steganalysis features are separately extracted from each subset with the same or close complexity evaluation function to build a classifier. The theoretical analysis and experimental results can demonstrate the validity of the proposed framework.
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