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Exposing Digital Image Forgeries from Near Duplicate Images

Authors: Snehal M. Khamankar; M.S. Madankar;

Exposing Digital Image Forgeries from Near Duplicate Images

Abstract

Nowadays image modification is easy due to availability of powerful digital image editing software. Images are powerful tool for communication, after images are posted on internet, other users can copy resize and re-encode them and then repost their version by generating similar but not identical copies. The main task is to find out original image between near duplicate image is difficult. It is difficult to adjust the illumination condition when Image composition or splicing operation performed on image to create composite image. Due to these illumination inconsistencies gives clue to detect forgery. But method that operate on illuminant color prone to estimation error, further improvement can be achieved by advanced illuminant estimator as skin color of the faces automatically detected in the image. After finding out the original image relationship within set of near duplicate images is shown by Image Phylogeny Tree (IPT) to finding the structure of transformation and their parameters among near duplicate image. The Technique is applicable to images containing two or more people.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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