Open Access
Subscription Access
Digital Image Forgery Identification Using Motion Blur Variations as Clue
Fake images have become common in society today. In all forms of media one can easily find forged images used to sensationalize news, spread political misinformation etc. Claims of image tampering are common while its truthfulness argument. As the trustworthiness of images suffers, it is necessary to devise techniques in order to verify their authenticity. Authentication can be determined using active or passive detection techniques.A variety of techniques have been proposed for splicing detection. One of the novel techniques is developed for the passive detection of image forgeries utilizing motion blur as cue in order to detect spliced object. Block wise Motion blur estimation within image assists to identify probable splicing.
Keywords
Image Forgery, Blur, Motion Blur Estimation, Splicing Detection.
User
Font Size
Information
- T Qazi, K Hayat, I Khan,“ Survey on blind image forgery detection” in IET Image Process., 2013, Vol. 7, Iss. 7, pp. 660–670.
- Museum of Hoaxes.[Online] Available : http://hoaxes.org/photo_database/image/
- HanyFarid, “Image Forgery Detection” in IEEE Signal Processing Magzine , March 2009.
- PravinKakar , SudhaNatrajan, Wee Ser,“ Exposing Digital Image Forgeries by detecting discrepancies in Motion Blur” in IEEE Transactions On Multimedia ,June 2011,Vol.13,No.3.
- ShamikTiwari, V. P. Shukla , Ajay Kr. Singh ,”Certain Investigations on Motion Blur Detection and Estimation”
- H. Ji and C. Liu, “Motion blur identification from image gradients,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp.1–8
- [online]:http://www.scmp.com/news/world/article/1886839/india- flooded-criticismafter-photoshop-disaster-drags-modi-missionmuck?utm_medium=twitter&utm_source=twitterfeed
Abstract Views: 444
PDF Views: 2