The week's pick
Reseach Article
Copy-Move Detection of Image Forgery by using DWT and SIFT Methodologies
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 148 - Number 7 |
| Year of Publication: 2016 |
| Authors: Suvarna G. Upase, Sunil V. Kuntawar |
10.5120/ijca2016911220
|
Suvarna G. Upase, Sunil V. Kuntawar . Copy-Move Detection of Image Forgery by using DWT and SIFT Methodologies. International Journal of Computer Applications. 148, 7 ( Aug 2016), 37-41. DOI=10.5120/ijca2016911220
Abstract
Copy move forgery is emerging as one of the research topic among researchers in the area of image forensic. Copy move forgery is basically concerned with duplicating one region in an image by pasting certain portion of the same image on it, many techniques have been used to detect such type of forgery. In this paper an enhanced way to detect copy move forgery is proposed. The proposed method use both block based method like Discrete Wavelet Transform (DWT) and feature based method like Scale Invariant Feature Transform (SIFT) to increase the robustness and accuracy of copy-move forgery detection. First of all DWT is applied on a given image to decompose the image into four parts LL, HL, HH and LH, Since LL part contains most of the information, so SIFT is applied to LL part only to further extract the key features of the image and match those features by using inter block matching and find the similar portion or parts between the images and marked them as forged. This method detect whether image forgery is occurred or not and also highlight the forgery more accurately.
References
- Saiqa Khan, Arun Kulkarni, “Reduced Time Complexity for Detection of Copy-Move Forgery Using Discrete Wavelet Transform” International Journal of Computer Applications (0975 – 8887) Volume 6– No.7,September 2010, pp 31-36.
- Sunil Kumar, Jagannath Desai, Shaktidev Mukherjee “A Fast DCT Based Method for Copy Move Forgery Detection”, In Proceedings of 2013 IEEE second International Conference on Image information processing (ICIIP-2013), pp 649-654.
- Neha Jadhav, Suvarna Kharat, Punam Nangare “ Copy Move Forgery Detection Using DCT”, International Journal of Emerging Technologies and Engineering (IJETE)Volume 2 Issue 3, March 2015, ISSN 2348 – 8050, pp 38-42.
- Ashima Gupta, Nisheeth Saxena, S.K Vasistha, “Detecting Copy move Forgery using DCT”, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013, pp 1- 4.
- Muhammad, Najah, Muhammad Hussain, Ghulam Muhammad, and George Bebis, "Copy-move forgery detection using dyadic wavelet transform.", In Proceedings of IEEE Eighth International Conference on Computer Graphics, Imaging and Visualization (CGIV-2011), pp. 103-108.
- Huang, Hailing, Weiqiang Guo, and Yu Zhang, "Detection of copy-move forgery in digital images using SIFT algorithm", In Proceedings of Pacific-Asia Workshop on Computational Intelligence and Industrial Application (PACIIA-2008), vol. 2, pp. 272-276.
- N.Anantharaj, “Tampering and Copy-Move Forgery Detection Using Sift Feature”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.2, Special Issue 1, March 2014, pp 2132-2137.
- Prabhaka Telegarapu, V. Jagan Naveen, A. Lakshmi Prasanthi, G. Vijaya Sant, “Image Compression Using DCT and Wavelet Transformations”, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol 4, No.3, September 2011, pp 61-74.
- Xiaolong Li. “General Framework to Histogram-Shifting-Based Reversible Data Hiding”, IEEE Transactions of image processing, Vol. 22, No. 6, June 2013, pp 2181-2191.
- Li, Weihai, Yuan Yuan, and Nenghai Yu. "Passive detection of doctored JPEG image via block artifact grid extraction." Signal Processing, vol. 89, no. 9, September 2009, pp 1821-1829.
- Amanpreet Kaur, Rich Sharma“ Copy-Move Forgery Detection using DCT and SIFT” International Journal of Computer Applications , Volume 70– No.7 , May 2013 , pp 30-34.
- Salam A. Thajeel,.“A Survey of Copy Move Forgery Detection Techniques”, Journal of Theoretical and Applied Information Technology, Vol.70 No.1, 10th December 2014, pp 25-35.
- Rohini. A. Maind, “Image Copy Move Forgery Detection using Block Representing Method”, International Journal of Soft Computing and Engineering , Volume-4, Issue-2, , May 2014, pp 49-53.
- Popescu, Alin C. , and Hany Farid, "Exposing digital forgeries by detecting duplicated image regions", Department of Computer Science Dartmouth College, Technical Report, August 2004, pp 1- 11.
- Nandini Singhal and Savita Gandhani, “Analysis of Copy-move Forgery Image Forensics: A Review”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.7 (2015), pp.265-272.
- Vincent Christlein, Christian Riess, Johannes Jordan, Corinna Riess, Elli Angelopoulou “An Evaluation of Popular Copy-Move Forgery Detection Approaches”, IEEE Transactions on Information Forensics & security, Vol 7, No.6, December 2012 , pp 1841-1854.
Index Terms
Keywords