AN IMPROVED METHOD TO IMAGE COPY DETECTION
Kim proposed a novel method to detect image copies based on DCT coefficients and ordinal measure.This method had a good ability to resist various signal and local geometric manipulations.However,Kims method was based on block units,which would lead to an insufficient precision.In order to solve the problem,on the basis of Kims method,we use an extended feature set which takes advantage of prior information to detect more attack types and the comparison of fine-grained edge information which can improve retrieval precision to further perfect Kims method.Experimental results show the improved method not only detects all copies that Kim can detect,Such as histogram equalization,contrast enhancement,water coloring,motion blurring,mosaic tiling,Gaussian noising,resizing,rotate with 180° and so on,but also significantly improves retrieval precision.
CBCD Ordinal measure Precision An extended feature set
Xiaoxiang Zou Gaochao Li Ming Chen Shupeng Wang Yongjian Wang Guangjun Wu
National Computer network Emergency Response technical Team/Coordination Center of China,Beijing 100 National Engineering Laboratory for Disaster Backup and Recovery,Beijing University of Posts and Tel Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100195,China
国际会议
杭州
英文
823-826
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）