TY - GEN
T1 - Forensic detection based on color label and oriented texture feature
AU - Zhu, Tingge
AU - Zheng, Jiangbin
AU - Feng, Mingchen
AU - Liu, Ying
AU - Liu, Wei
AU - Kuang, Nailiang
AU - Zhao, Chao
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Copy-move forgery is one of the most tampered means. In this paper, we propose a blind method based on the color label and oriented color texture feature for copy-move detection. Firstly, we compute local color entropy of every pixel, which is grouped into several categories as color labels. Then an image is divided into overlapping blocks, oriented color texture feature of which is extracted. Similar blocks are searched in these blocks with the same color label, and then we fuse these similar block pairs into several regions. According to the linkage relation of these regions, the tampered regions are located. Experiment results have demonstrated that the proposed algorithm has good performance in terms of improved detection accuracy and reduced execution time, at the same time, it also can detect these tampered images inpainted by exemplar-based inpainting technique.
AB - Copy-move forgery is one of the most tampered means. In this paper, we propose a blind method based on the color label and oriented color texture feature for copy-move detection. Firstly, we compute local color entropy of every pixel, which is grouped into several categories as color labels. Then an image is divided into overlapping blocks, oriented color texture feature of which is extracted. Similar blocks are searched in these blocks with the same color label, and then we fuse these similar block pairs into several regions. According to the linkage relation of these regions, the tampered regions are located. Experiment results have demonstrated that the proposed algorithm has good performance in terms of improved detection accuracy and reduced execution time, at the same time, it also can detect these tampered images inpainted by exemplar-based inpainting technique.
KW - Color label
KW - Digital image forensic
KW - Forged region detection
KW - Oriented texture feature
UR - http://www.scopus.com/inward/record.url?scp=85080911072&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-39431-8_37
DO - 10.1007/978-3-030-39431-8_37
M3 - 会议稿件
AN - SCOPUS:85080911072
SN - 9783030394301
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 383
EP - 395
BT - Advances in Brain Inspired Cognitive Systems - 10th International Conference, BICS 2019, Proceedings
A2 - Ren, Jinchang
A2 - Hussain, Amir
A2 - Zhao, Huimin
A2 - Cai, Jun
A2 - Chen, Rongjun
A2 - Xiao, Yinyin
A2 - Huang, Kaizhu
A2 - Zheng, Jiangbin
PB - Springer
T2 - 10th International Conference on Brain Inspired Cognitive Systems, BICS 2019
Y2 - 13 July 2019 through 14 July 2019
ER -