TY - GEN
T1 - Copy-Move Forgery Detection Using SWT-DCT and Four Square Mean Features
AU - Pugar, Fauhan Handay
AU - Muzahidin, Sultan
AU - Arymurthy, Aniati Murni
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Image forgery detection is challenging to solve, especially in blind image forgery detection. Copy-move forgery is a common and popular method in image forgery. Copy-move forgery become more challenging to detect with addition of post-processing operation in the image. In this paper, the proposed methodology is copy-move detection with Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT), and Four-Square Mean Features. SWT is used because it enables to handle various kind of post-processing operation. Likewise, DCT has many advantages such as the lower dimension and robust to various attacks. The proposed methodology is evaluated using CoMoFoD dataset and the performance are measured using precision, recall, and F1-scores. The result reveal that the methodology is successful in detecting duplicated region and robust against brightness change, contrast adjustment, image blurring, and color reduction.
AB - Image forgery detection is challenging to solve, especially in blind image forgery detection. Copy-move forgery is a common and popular method in image forgery. Copy-move forgery become more challenging to detect with addition of post-processing operation in the image. In this paper, the proposed methodology is copy-move detection with Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT), and Four-Square Mean Features. SWT is used because it enables to handle various kind of post-processing operation. Likewise, DCT has many advantages such as the lower dimension and robust to various attacks. The proposed methodology is evaluated using CoMoFoD dataset and the performance are measured using precision, recall, and F1-scores. The result reveal that the methodology is successful in detecting duplicated region and robust against brightness change, contrast adjustment, image blurring, and color reduction.
KW - copy-move forgery
KW - discrete cosine transform
KW - four square mean features
KW - image forgery
KW - stationary wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=85085862805&partnerID=8YFLogxK
U2 - 10.1109/ICEEI47359.2019.8988905
DO - 10.1109/ICEEI47359.2019.8988905
M3 - Conference contribution
AN - SCOPUS:85085862805
T3 - Proceedings of the International Conference on Electrical Engineering and Informatics
SP - 63
EP - 68
BT - Proceeding of 2019 International Conference on Electrical Engineering and Informatics, ICEEI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Electrical Engineering and Informatics, ICEEI 2019
Y2 - 9 July 2019 through 10 July 2019
ER -