计算机工程2012，Vol.38Issue(10)：203-205,3.DOI:10.3969/j.issn.1000-3428.2012.10.062
基于投影数据主成分分析的图像篡改检测算法
Detection Algorithm of Image Forgery Based on Principal Components Analysis of Projection Data
摘要
Abstract
Aimming at the defects of Posucue algorithm which is time-consuming in finding copy-paste forgery in image tampering, a new algorithm based on Principal Components Analysis(PCA) of projection features is put forward. A tampered image is divided into many overlapped small image blocks. The horizontal projection and vertical projection of each image block are gained to build up a matrix. Dimensionality reduction of this matrix is completed by PCA. Then Lexicographic Sorting is applied. With a threshold distance of each neighborhood block in the dimensionality reduced matrix, the copy-paste area can be found. Experimental result shows that this new algorithm can find the exact copy-paste areas and be more rapid than Posucue algorithm.关键词
图像篡改/图像盲取证/投影变换/投影特征/主成分分析/字典排序Key words
image forgery/blind image forensics/projection transformation/projection feature/Principal Component Analysis(PCA)/lexicographic ordering分类
信息技术与安全科学引用本文复制引用
赵俊红,康文雄..基于投影数据主成分分析的图像篡改检测算法[J].计算机工程,2012,38(10):203-205,3.基金项目
国家自然科学基金资助项目(61105019) （61105019）
