TY - GEN
T1 - Adaptive polar based filtering method for image copy-move forgery detection
AU - Bi, Xiuli
AU - Pun, Chi Man
AU - Yuan, Xiao Chen
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In this paper, an Adaptive Polar based Filtering Method is proposed for image copy-move forgery detection. In order to improve the performance of detection method, the post-processing of the matching results is worth being focused on. To filter out the redundant pixels from the initially matched pixels, two pixels sets-Symmetrical Matched Pixels set and Unsymmetrical Matched Pixels set, are extracted from the matched pixel pairs, furthermore, the polar distributions of the two sets are calculated respectively. Then, the filtering thresholds can be adaptively calculated according to the polar distribution, thus the redundant pixels can be filtered out accordingly. Finally, some morphological operations are applied to the remained pixels to generate the detected forged regions. Experimental results show that the proposed scheme can achieve much better detection results compared with the existing state-of-the-art copy-move forgery detection methods.
AB - In this paper, an Adaptive Polar based Filtering Method is proposed for image copy-move forgery detection. In order to improve the performance of detection method, the post-processing of the matching results is worth being focused on. To filter out the redundant pixels from the initially matched pixels, two pixels sets-Symmetrical Matched Pixels set and Unsymmetrical Matched Pixels set, are extracted from the matched pixel pairs, furthermore, the polar distributions of the two sets are calculated respectively. Then, the filtering thresholds can be adaptively calculated according to the polar distribution, thus the redundant pixels can be filtered out accordingly. Finally, some morphological operations are applied to the remained pixels to generate the detected forged regions. Experimental results show that the proposed scheme can achieve much better detection results compared with the existing state-of-the-art copy-move forgery detection methods.
KW - Adaptive polar based filtering method
KW - Copy-move forgery
KW - Polar distribution
UR - http://www.scopus.com/inward/record.url?scp=85015221588&partnerID=8YFLogxK
U2 - 10.1109/TrustCom.2016.0161
DO - 10.1109/TrustCom.2016.0161
M3 - Conference contribution
AN - SCOPUS:85015221588
T3 - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
SP - 952
EP - 956
BT - Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016
Y2 - 23 August 2016 through 26 August 2016
ER -