基于结构相似的改进SIFT图像复制-粘贴篡改检测  

Improved SIFT Image Copy Paste Tampering Detection Based on Structural Similarity

作　　者：张露[1] 林开司[1] 张志宏[1] 

机构地区：[1]铜陵职业技术学院电气工程系,安徽铜陵244000

出　　处：《重庆工商大学学报（自然科学版）》2017年第5期31-36,共6页Journal of Chongqing Technology and Business University:Natural Science Edition

基　　金：安徽高等学校自然科学基金重点项目(KJ2016A712)

摘　　要：基于SIFT算法的复制-粘贴篡改检测方法中用广义2NN测试获得的匹配点对存在错误匹配,产生误匹配点,针对这一问题,提出了一种利用匹配点对间的结构相似性对广义2NN测试得到的匹配点对进行提纯,剔除误匹配点对,提高匹配正确率;误匹配点对的剔除,减少了匹配点对,使后续的聚类和几何评估操作减少了时间,由此提高了整个算法的执行效率;实验表明改进算法性能有较大提升。SIFT is a commonly used matching algorithm,which is commonly used in image copy paste tampering detection. Based on the SIFT algorithm,the matching point pairs are obtained by the generalized 2NN test in the copy paste tampering detection method,there is an error match to produce the wrong match points.Therefore,this paper proposes a method to purify the matching points obtained from the generalized 2NN test by using the structural similarity between the matching points. The error matching points are eliminated and the matching accuracy is improved. Because the error matching point pairs are eliminated,the matching points are reduced. The time of clustering and geometrical assessment of subsequent operation is reduced,thereby the efficient execution of the algorithm is improved. The efficiency of the implementation of the entire algorithm is improved.Finally,the experiment shows that the improved algorithm has improved the performance.

关 键 词：篡改 结构相似 复制-粘贴 误匹配 提纯 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]