图像镜像复制粘贴篡改检测中的FI-SURF算法

doi:10.11959/j.issn.1000-436x.2015163

Abstract

Abstract:

FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF interest points,rearrange the descriptors,the interest points can still be matched even under the condition of copy-flip-move.The experiment results show that FI-SURF not only reserved the advantage of SURF,but also can detect the copy-flip-move forgery,and can locate the duplicated region.

Key words: SURF, interest point, image forgery, copy-flip-move

IYan L,IUNian L,HANGBin Z,UANKai-guo Y,ANGYi-xian Y. FI-SURF algorithm for image copy-flip-move forgery detection[J]. Journal on Communications, 2015, 36(5): 54-65.

Figures/Tables 13

References 20

[1]	QAZI T , HAYAT K , KHAN S U , et al. Survey on blind image forgery detection[J]. IET Image Process, 2013,7(7): 660-670.
[2]	AL-QERSHI O M , KHOO B E . Passive detection of copy-move for-gery in digital images:state-of-the-art[J]. Forensic Science International, 2013,231(1-3): 284-295.
[3]	KEE E , O'BRIEN J , FARID H . Exposing photo manipulation with inconsistent shadows[J]. ACM Transactions on Graphics (TOG), 2013,32(3): 1-12.
[4]	FRIDRICH A J , SOUKAL B D , LUK ? A J . Detection of copy-move forgery in digital images[A]. Proceeding of the Digital Forensic Research Workshop[C]. Cleveland,Ohio,USA, 2003. 1-10.
[5]	POPESCU A C , FARID H , Exposing digital forgeries by detecting duplicated image regions[R]. Dept Comput Sci,Dartmouth College,Tech, 2004.
[6]	CHRISTLEIN V , RIESS C , ANGELOPOULOU E . On rotation invariance in copy-move forgery detection[A]. Proceeding of the Information Forensics and Security (WIFS)[C]. Seattle, 2010. 1-6.
[7]	AMERINI I , BALLAN L , CALDELLI R , et al. Copy-move forgery detection and localization by means of robust clustering with J-linkage[J]. Signal Processing:Image Communication, 2013,28: 659-669.
[8]	LOWE D G . Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004,60(2): 91-110.
[9]	BAY H , ESS A , TUYTELAARS T , et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 2008,110(3): 346-359.
[10]	SHIVAKUMAR B , SANTHOSH BABOO S . Detection of region duplication forgery in digital images using SURF[J]. International Journal of Computer Science Issues (IJCSI), 2011,8(4): 199-205.
[11]	BO X , JUNWEN W , GUANGJIE L , et al. Image copy-move forgery detection based on SURF[A]. Proceeding of the Multimedia Information Networking and Security (MINES),2010 International Conference on[C]. 2010. 889-892.
[12]	QI F , WEIHONG X , QIANG L . Research of image matching based on improved SURF algorith[J]. Telkomnika Indonesian Journal of Elec-trical Engineering, 2014,12(2): 1395-1402.
[13]	PANG Y , LI W , YUAN Y , et al. Fully affine invariant SURF for image matching[J]. Neurocomputing, 2012,85: 6-10.
[14]	PAN X , LYU S . Region duplication detection using image feature matching[J]. Information Forensics and Security,IEEE Transactions on, 2010,5(4): 857-867.
[15]	GUO X , CAO X . MIFT:A framework for feature descriptors to be mirror reflection invariant[J]. Image and Vision Computing, 2012,30: 546-556.
[16]	KAKAR P , SUDHA N . Exposing postprocessed copy paste forgeries through transform-invariant features[J]. IEEE Transactions on Information Forensics and Security, 2012,7(3): 1018-1028.
[17]	AMERINI I , BALLAN L , CALDELLI R , et al. A sift-based forensic method for copy-move attack detection and transformation recovery[J]. IEEE Transactions on Information Forensics and Security, 2011,6(3): 1099-1110.
[18]	FISCHLER M A , BOLLES R C . Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 1981,24(6): 381-395.
[19]	SUZUKI S . Topological structural analysis of digitized binary images by border following[J]. Computer Vision,Graphics,and Image Processing, 1985,30(1): 32-46.
[20]	JEGOU H , DOUZE M , SCHMID C . Hamming embedding and weak geometric consistency for large scale image search[A]. Proceeding of the 10th European conference on Computer vision[C]. Berlin Heidelberg, 2008. 304-317.

Metrics

Recommended 0

No Suggested Reading articles found!

参数名称	参数值	说明
N_pix	20	要在其N_pix像素之外的区域寻找匹配点（3.2节）
T_g2NN	0.5	g2NN匹配算法中相邻距离的比值（3.2节）
N_S	300	RANSAC算法的循环次数（3.3节）
T_BW	0.7	把ZNCC二值化时使用的阈值（3.4节）
A	0.02%	去掉ZNCC中面积小于A的孤立区域（3.4节）

算法	TPR	FPR
FI-SURF	0.961 8	0.063 7
SURF	0.484 1	0.051 0

FI-SURF algorithm for image copy-flip-move forgery detection

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 20

Related Articles 15

Metrics

Recommended 0

[1]	Lei ZHANG, Yu WANG, Jianjie TIAN, Lin ZHANG, Tianjiao ZHANG. Joint beam forming design for IRS-aided MIMO Internet of vehicles system [J]. Journal on Communications, 2023, 44(2): 59-69.
[2]	Zhen YANG, Xuan FENG, Bin LYU. Research on throughput maximization for intelligent reflecting surface assisted dual-hop relay wireless powered communication network [J]. Journal on Communications, 2022, 43(9): 90-99.
[3]	Rong ZENG, Xiao HANG. Reconfigurable intelligent surface assist wireless channel estimation algorithm in Internet of vehicles environment [J]. Journal on Communications, 2022, 43(8): 142-150.
[4]	Haiyan GUO, Zhen YANG, Yulong ZOU, Bin LYU, Yuntian FENG, Yujuan ZHAO. Double-RIS assisted anti-jamming communication method based on joint active and passive beamforming optimization [J]. Journal on Communications, 2022, 43(7): 21-30.
[5]	Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI. Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system [J]. Journal on Communications, 2022, 43(4): 216-226.
[6]	Zhengyu ZHU, Gengwang HOU, Chongwen HUANG, Gangcan SUN, Wanming HAO, Jing LIANG. Systems resource allocation algorithm for RIS-assisted D2D secure communication based on parallel CNN [J]. Journal on Communications, 2022, 43(3): 172-179.
[7]	Hancheng LU, Yazheng WANG, Dan ZHAO, Tao LUO, Jun WU. Survey of physical layer security of intelligent reflecting surface-assisted wireless communication systems [J]. Journal on Communications, 2022, 43(2): 171-184.
[8]	Sai ZHAO, Zhangchen ZOU, Gaofei HUANG, Dong TANG. Joint design scheme of resource allocation for intelligent reflecting surface assisted millimeter wave NOMA system [J]. Journal on Communications, 2022, 43(12): 113-122.
[9]	Lijie WU, Hanqing YANG, Qiang CHENG, Tiejun CUI. Design of amplifying information metasurface for enhancing signal coverage [J]. Journal on Communications, 2022, 43(12): 3-12.
[10]	Songlin ZHOU, Junwen TANG, Luohao LIU, You WU, Changhao LIU, Yifei JIN, Fan YANG, Shenheng XU, Maokun LI. Review of array antenna and its application based on electromagnetic surface [J]. Journal on Communications, 2022, 43(12): 13-23.
[11]	Kui TANG, Qi HU, Junming ZHAO, Ke CHEN, Yijun FENG. RIS-based indoor wireless communication signal enhancement system [J]. Journal on Communications, 2022, 43(12): 24-31.
[12]	Haixia LIU, Hao YI, Xiangjin MA, Shuyao YUE, Xudong KONG, Pei MA, Yuxin ZENG, Long LI. Indoor wireless signal coverage and enhancement based on passive reconfigurable intelligent metasurface [J]. Journal on Communications, 2022, 43(12): 32-44.
[13]	Yinuo HAO, Zhou ZHONG, Xiaoli SUN, Liang JIN. DMA-based key generation method for IoT scenario [J]. Journal on Communications, 2022, 43(12): 45-53.
[14]	Xianhao SHEN, Ziling ZENG, Shaohua NIU. Reconfigurable intelligent surface assisted resource optimization method for heterogeneous network [J]. Journal on Communications, 2022, 43(11): 171-182.
[15]	Xiaoxi ZHANG, Yongjun XU. Survey on backscatter communication for zero-power IoT [J]. Journal on Communications, 2022, 43(11): 199-212.