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