TY - GEN
T1 - Detection and Classification of Various Image Operations Using Deep Learning Technology
AU - Huang, Tian
AU - Yuan, Xiaochen
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/7
Y1 - 2018/11/7
N2 - As one of the main medium for information transmission, the digital imagecan be easily tampered during transmission. It is becoming more and more important to identifywhether the given image is an original image or a processed image. In this paper, we propose acompact universal feature based on spatial domain in virtue of some latest image forensic methods and design a multi-class classification scheme using the deep learning technique, to identify and furthermore classify the various normal image operations. According to the experimental results, the proposed method can well detect and classify the multiple common image post-processing operations. And the comparison with the existing feature shows the better performance of the proposed method.
AB - As one of the main medium for information transmission, the digital imagecan be easily tampered during transmission. It is becoming more and more important to identifywhether the given image is an original image or a processed image. In this paper, we propose acompact universal feature based on spatial domain in virtue of some latest image forensic methods and design a multi-class classification scheme using the deep learning technique, to identify and furthermore classify the various normal image operations. According to the experimental results, the proposed method can well detect and classify the multiple common image post-processing operations. And the comparison with the existing feature shows the better performance of the proposed method.
KW - Convolutional neural network (CNN)
KW - Deep learning technique
KW - Image post-processing Operations detection
KW - Spatial rich model (SRM)
UR - https://www.scopus.com/pages/publications/85058041256
U2 - 10.1109/ICMLC.2018.8526999
DO - 10.1109/ICMLC.2018.8526999
M3 - Conference contribution
AN - SCOPUS:85058041256
T3 - Proceedings - International Conference on Machine Learning and Cybernetics
SP - 50
EP - 55
BT - Proceedings of 2018 International Conference on Machine Learning and Cybernetics, ICMLC 2018
PB - IEEE Computer Society
T2 - 17th International Conference on Machine Learning and Cybernetics, ICMLC 2018
Y2 - 15 July 2018 through 18 July 2018
ER -