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Dharashive, N. G.
- Digital Image Forgery Identification Using Motion Blur Variations as Clue
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1 Department Computer Science and Engineering, M.S. Bidve Engineering College, Latur, Maharashtra, IN
1 Department Computer Science and Engineering, M.S. Bidve Engineering College, Latur, Maharashtra, IN
Source
KHOJ: Journal of Indian Management Research and Practices, Vol 1, No 1 (2016), Pagination: 80-88Abstract
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.References
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