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• W1663513272 abstract "The fast advent and development of numerous low cost commercial image editing software, distortions in image are easy and its quick recognition and identification is very hard. This has resulted in digital image manipulations (also known as forgery and meddling) which alters the original image and hides or removes meaningful information and makes it tampered. All this is done with a malicious motivation to change the originality of image. Over the past decades a very promising field called as the field of digital forensics has emerged to help restore some trust to digital images. Restoring the traditional trustworthiness on digital photos plays prominent role as doctored photos are enhancing with growing frequency and sophistication these days .In this paper, we focus on image forensic detection on tampered pictures. The detection of a tampering in image is driven to provide authenticity and to maintain integrity of the image so that tampering is detected and minimized." @default.
• W1663513272 created "2016-06-24" @default.
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• W1663513272 date "2015-04-01" @default.
• W1663513272 modified "2023-10-16" @default.
• W1663513272 title "Reducing Forged Features Using Tampered and Inconsistent Image Detection Techniques in Digital Image Processing" @default.
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• W1663513272 doi "https://doi.org/10.1109/csnt.2015.286" @default.
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