Image copy-move forgery detection using hierarchical feature point matching
Li Y.2; Zhou J.2
2017-01-17
Conference NameAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
Source Publication2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
Conference DateDEC 13-16, 2016
Conference PlaceJeju, SOUTH KOREA
Abstract

Copy-move forgery is one of the most commonly used manipulations for tempering digital images. Keypoint-based detection methods have been reported to be very effective in revealing copy-move evidences, due to their robustness against geometric transforms. However, these methods fail to handle the cases when copy-move forgery only involves small or smooth regions, where the number of keypoints is very limited. To tackle this challenge, we propose a simple yet effective copy-move forgery detection approach. By lowering the contrast threshold and rescaling the input image, we first generate a sufficient number of keypoints that exist even in the small or smooth regions. Then, a novel hierarchical matching strategy is developed for solving the keypoint matching problems. Finally, a novel iterative homography estimation technique is suggested through exploiting the dominant orientation information of each keypoint. Extensive experimental results are provided to demonstrate the superior performance of the proposed scheme.

DOI10.1109/APSIPA.2016.7820758
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000393591800086
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.UMacau Zhuhai Research Institute
2.Universidade de Macau
Recommended Citation
GB/T 7714
Li Y.,Zhou J.. Image copy-move forgery detection using hierarchical feature point matching[C],2017.
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