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Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 11, November 2017

A Survey Paper on Revealing Image Forgery Using Image Manipulation Detection

Deepak B. Waghchaure ^[2] | Ashish R. Gaikwad

Abstract: There are different kinds of images are available from which Digital images are most widely used in the various fields like medical imaging, journalism, criminal and forensic investigation. There are different softwares are available to make a duplicate image or which changes the original effect of images due to which the original contrast is get disturbed. Therefore it is necessary to create forensic techniques which are capable of detecting the tampering in image. In this paper, we present various techniques which detect global contrast enhancement and copy-paste forgery. This proposed technique of detection of contrast-enhanced image is based on contrast calculation. In copy-paste forgery detection, we used DCT based feature extraction method. The technique can efficiently detect the small, medium and large size regions in the forged image.

Keywords: digital forensics, contrast enhancement, image forgery, image processing, copy-paste forgery

Edition: Volume 6 Issue 11, November 2017,

Pages: 927 - 929

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