Downloads: 108
Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Digital Image Forgery Detection with Motion Blur as Cue: A Survey
Pornima M. Birajdar | N.G. Dharashive
Abstract: The extensive availability of sophisticated image editing tools has rendered it relatively easy to produce fake images for malicious purposes in various fields. Image splicing is one of the forms of image forgery and Image splicing detection has been considered as the most challenging problem in passive image authentication. Image forgery affects the characteristics of images such as blurriness, sharpness, noise etc. Introduction of artificial blur while image splicing is very common practice used to reduce degree of discontinuity to hide splicing effects. Using blur estimation blur consistency pattern of an image can be found. Blur factor can be used to detect any splicing possibilities in the image to decide whether it is authentic or forged. The survey covers various image forgery detection techniques with blur as cue.
Keywords: Image forgery, Blur, Motion blur estimation, Splicing detection
Edition: Volume 4 Issue 5, May 2015,
Pages: 1271 - 1274
Similar Articles with Keyword 'Image forgery'
Downloads: 108
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 1273 - 1278Image Forgery Localization via CFA Based Feature Extraction and Poisson Matting
Priyanka Prasad
Downloads: 110
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014
Pages: 1404 - 1408A Joint Forensic System to Detect Image Forgery using Copy Move Forgery Detection and Double JPEG Compression Approaches
Dhara Anandpara | Rohit Srivastava [2]