Detection of Digital Forgery Image using Different Techniques
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Mehak, Tarun Gulati
|DOI : 10.14445/22315381/IJETT-V46P280|
Mehak, Tarun Gulati "Detection of Digital Forgery Image using Different Techniques", International Journal of Engineering Trends and Technology (IJETT), V46(8),457-461 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In present world, digital uprising made it very dominant technology to approach, share and store any pictorial information and evidences. Though digital technology has many rewards as it play a significant role in various fields like forensic investigation, medical imaging, courtrooms and journalism where digital image used as authenticated proofs, it can be used as misleading tool also. These misleading or say editing tools modify the images to make a forged image and there can be a many reasons behind this occurrence of forgery as to conceal something in an image in order to produce false proof referred as copy move forgery effect , to enhance image or to emphasize particular objects etc. So, there is a strong demand for robust and valid secured method to find out whether picture is forged or not. In this paper, review of various techniques related to block based and key-point based methods to find out the copy move forgery effect is presented.
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Image retouching. Image splicing, Copy-move forgery, Block Based, Key-point Based.