Comparative Study and Survey on Copy Move Image Forgery Detection Approaches

Authors

  • Naincy Research Scholar, CE Deptt. YCOE, Punjabi University, Patiala, India
  • Ashok Kumar Bathla Assistant Professor, CE Deptt. YCOE, Punjabi University, Patiala, India

DOI:

https://doi.org/10.53555/nncse.v2i9.441

Keywords:

Image forgery, Image forgery detection, Copymove, Splicing, Resampling, Block based, Key-point bas

Abstract

Nowadays the demand of digital images in various application areas is increasing and thus it is becoming important to ensure the authenticity of images. Due to easy availability of various image editing tools, continuous manipulations are done to create fake or forged images. Although various techniques like copy-move, splicing, resampling etc. for image forgery are present but copy move image forgery has received significant attention these days. Thus the focus of this paper is on copy-move image forgery detection techniques. We have presented a review of commonly used copy move image forgery detection techniques and the comparison of same is also showed to evaluate their performance on basis of various parameters.

References

Ansari M. D., Ghrera S. P., Tyagi V., “Pixel-Based Algorithm”, IEEE Pacific-Asia Workshop on Image Forgery Detection: A Review”, IETE Journal Computational Intelligence and Industrial of Education, vol. 55, no. 1, pp.40-46, 2014. Application, Wuhan, pp.272-276, 2008

Bashar M. K., Noda K., Ohnishi N., Mori K., [8] Isik S., Ozkan K., “A Comparative Evaluation of "Exploring duplicated regions in natural images", Well-known Feature Detectors and Descriptors”, IEEE transactions on image processing: a publication International Journal of Applied Mathematics, of the IEEE Signal Processing Society, pp.1- 40

Bayram S., Sencar H. T., Memon N., “An Efficient by detecting duplicated image regions”, Dartmouth and Robust Method for Detecting Copy-Move College, Tech. Rep. TR2004- 515 , pp.1-11, 2004

Bo X., Junwen W., Guangjie L., Yuewei D., "Image copy move forgery detection based on SURF", IEEE

As many block based and key-point based methods for International Conference on Multimedia Information detection of copy move

image forgery available. But as it is Networking and Security (MINES), Jiangsu, pp.889clear from comparison presented in the above table that none 892, 2010

Christleinl V., Riess C., Jordan J., Riess C., compression, blurring, scaling, rotation etc. and each has its Angelopoulou E., “An Evaluation of Popular Copyown advantages and drawbacks. Thus to develop robust Move Forgery Detection Approaches”, IEEE methods for copy move image forgery detection it is advisable Transactions on Information Forensics and Security, to make hybrid techniques by combining different techniques vol.7, no.6, pp.1841-1854, 2012

Fridrich J., Soukal D., Lukas J., “Detection of copy move forgery in digital images”, Proceedings of Digital Forensic Research Workshop, Citeseer, 2003

Huang H., Guo W., Zhang Y., “Detection of CopyMove Forgery in Digital Images Using SIFT

Isik S., Ozkan K., “A Comparative Evaluation of "Exploring duplicated regions in natural images", Well-known Feature Detectors and Descriptors”, IEEE transactions on image processing: a publication International Journal of Applied Mathematics, of the IEEE Signal Processing Society, pp.1-40, Electronics and Computers (IJAMEC), pp.1-6, 2014

Qureshi M. A., Deriche M., “A Review on Copy Acoustics, Speech and Signal Processing (ICASSP), Move Image Forgery Detection Techniques”, IEEE Taipei, pp.1053-1056, 2009

Ryu S. J, Lee M. J., Lee H. K., “Detection of CopyRotate-Move Forgery Using Zernike Moments”, Springer-Verlag Berlin Heidelberg , pp. 51–65, 2010

Sekhar R. , Matha L., “ Recent Block-based Methods of Copy-Move Forgery Detection in Digital Images”, International Journal of Computer Applications, vol. 89, no. 8, pp.28-33, March 2014

Sridevi M., Mala C., Sanyam S., “Comparative Study of Image Forgery and Copy-Move Techniques” Springer-Verlag Berlin Heidelberg , vol.166, pp. 715– 723, 2012

Thajeel S. A., Sulong G., “A Survey of Copy-Move Forgery Detection Techniques”, Journal of Theoretical and Applied Information Technology, vol.70, no.1, 2014

Zhang G. Q., Hang-jun Wang H. J., “SURF-based Detection of Copy-Move Forgery in Flat Region”, International Journal of Advancements in Computing Technology (IJACT), vol.4, no.17, 2012

Zhang J., Feng Z., Su Y.,“ A new approach for detecting copy-move forgery in digital images”, 11th IEEE Singapore International Conference on Communication Systems (ICCS), Guangzhou, pp.362366, 2008

Zheng J., Chang L., “Detection of Region-duplication Forgery in Image Based on Key Points Binary Descriptors”, Journal of Information & Computational Science, pp.3959-3966, 2014

Zhu Y., Shen X., Chen H., “Copy-move forgery detection based on scaled ORB”, Springer Science+Business Media New York, pp.51-65, 2015

Downloads

Published

2015-09-30

How to Cite

Naincy, & Bathla, A. K. (2015). Comparative Study and Survey on Copy Move Image Forgery Detection Approaches. Journal of Advance Research in Computer Science & Engineering (ISSN 2456-3552), 2(9), 01-05. https://doi.org/10.53555/nncse.v2i9.441