湖南大学学报（自然科学版）2016，Vol.43Issue(8)：128-134,7.
基于局部色彩不变量的图像篡改检测方法
Image Copy-move Forgery Detection Based on Local Color Invariants
摘要
Abstract
Block-based copy-move image forgery detection methods usually have problems such as high-dimensional feature vector,high computational complexity and low detection rate.So,this paper proposed a new method for image copy-move forgery detection based on color invariants,which extracts density characteristics from each channel of opponent color space converted from RGB.The k-d tree is constructed to speed up approximate nearest neighbors matching for tampering detection.The experiment results show that the proposed local color invariants feature with low-dimension and simple computation can represent the image block feature effectively.When compared with typical block-based methods,this method has some advantages,such as lower computational complexity,more accurate and robust to post-processing for forgery regions such as rotation and scaling.关键词
色彩不变量/特征提取/区域复制/篡改检测/计算机取证Key words
color invariants/feature extraction/copy-move/forgery detection/computer forensics分类
信息技术与安全科学引用本文复制引用
谢伟,万晓霞,叶松涛,王韬..基于局部色彩不变量的图像篡改检测方法[J].湖南大学学报（自然科学版）,2016,43(8):128-134,7.基金项目
国家重点基础研究发展计划（973计划）资助项目（2012CB725302）；国家自然科学基金资助项目（61275172），National Natural Science Foundation of China（61275172）；交通部信息化重大专项 （）
