%0 Journal Article
%T Method for Image Splicing Detection Based on Statistical Features and Markov Feature<br>基于统计特征和马尔可夫特征的图像拼接盲检测
%A LI Zhe
%A ZHANG Ai-xin
%A JIN Bo
%A LI Sheng-hong
%A <br>李哲
%A 张爱新
%A 金波
%A 李生红
%J 计算机科学
%D 2010
%I 
%X The authenticity detection of digital images is of great significance in judicial identification. Image splicing is used very often as a falsification method and it will certainly decrease the correlation between image pixels which can be reflected by some statistical features. Combined with Markov features, a new approach which uses moment and phase congruency to extract features was proposed and SVM classifier was used to judge the category an image belongs to.The experimental results show that the proposed method can achieve a detection accuracy of 91. 75%.
%K Spliced image
%K Moment feature
%K I31ind detection
%K Image features
%K Classifier<br>拼接图像
%K 矩特征
%K 盲检测
%K 图像特征
%K 分类器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=956A7249A8C63AB8AC27EE41E87B3E02&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=DF92D298D3FF1E6E&sid=CAA7BAE04CB631A1&eid=69E4C201C13601F9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10