The week's pick
Reseach Article
Digital Image Alteration Detection using Advance Processing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 116 - Number 18 |
| Year of Publication: 2015 |
| Authors: Mahesh Mahipati Patil, S. P. Rangdale, S. A. Nalawade |
10.5120/20436-2772
|
Mahesh Mahipati Patil, S. P. Rangdale, S. A. Nalawade . Digital Image Alteration Detection using Advance Processing. International Journal of Computer Applications. 116, 18 ( April 2015), 18-21. DOI=10.5120/20436-2772
Abstract
Digital images became the part of many applications. But digital images have the problem of image retouch up techniques. Because of this retouch up techniques there is serious problem of securing digital images. To touch upon this downside, the sphere of digital forensics and investigation has emerged and provided some trust in digital pictures. Different image forgeries such as copy and move, region duplication forgery, image splicing fraudulence, etc. are performed on digital images. Different basic image operations or manipulations are often involved on these image forgeries. In this paper, before proposed a technique for image validation by detection of four basic image manipulation operations with overcome the challenge of copy-move forgery detection, first, discussed how to detect basic image alteration operations that are often applied on forged images and challenges of copy-move forgery detection.
References
- S. Devi Mahalakshmi, K. Vijayalakshmi, S. Priyadharsini. Digital image forgery detection and estimation by exploring basic image Manipulations. Digital Investigation 8; (2012) 215–225.
- Ms. P. G. Gomase, Ms. N. R. Wankhade. A Digital image forgery detection: A review. IOSR Journal of Computer Science (IOSR-JCE); 2014.
- Farid H. Image forgery detection. IEEE Signal Process Mag Mar. 2009;26(2):16–25.
- Gallagher AC. Detection of linear and cubic interpolation in JPEGcompressed images. In: Proc. 2nd Canadian conf. computer and robotvision, Washington, DC; 2005. p. 65–72.
- Stamn MC, Liu KJ. Forensic detection of image manipulation usingstatistical fingerprints. IEEE Trans Inf Forensics Security Sep. 2010;5(3):492–506.
- Wei W, Wang S, Tang Z. Estimation of image rotation angle using interpolation-related spectral signatures with application to blinddetection of image forgery. IEEE Trans Inf Forensics Security Sep. 2010;5(3):507–17.
- Liu H, Rao J, Yao X. Feature based watermarking scheme for image authentication. In: IEEE Int. conf. multimedia and expo; 2008. p. 229–232.
- Mohd Dilshad Ansari, S. P. Ghrera, Vipin Tyagi. Pixel-Based Image Forgery Detection: A Review. In: IETE JOURNAL OF EDUCATION; 2014. VOL 55.
- S. Murali, Govindraj B. Chittapur, Prabhakara H. S, Basavaraj S. Anami. Comparison and analysis of photo image forgery detection techniques. InInternational Journal on Computational Sciences & Applications (IJCSA); 2012. VOL 2.
Index Terms
Keywords