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IMAGE FORGERY DETECTION BY MODIFICATION IN BAYER'S MATRIX

Author(s):

Vikrant bhardwaj , PEC University of Technology; Bipan Kaushal , PEC University of Technology

Keywords:

CFA Artifact, Digital Camera Demosaicking, Image Forgery, Interpolation

Abstract

Image forgery identification assumes a fundamental part in criminological science, the vast majority of the created strategies are concentrating on coarse grained fabrication restriction. In this paper, we introduce forgery detection method based on artifacts obtained by Color Filter Array (CFA) which are used in most digital cameras. Here we make the assumption that forgery removes the artifact due to de-mosaicking algorithm. Our main focus is on the fine grained forgery localization problem, assuming to have no information about the forged pixel.The proposed method is based on a new feature measuring the presence of de-mosaicking artifact at local level. We proposed a new feature measuring the presence of de-mosaicking artifact even at the smallest 2 X 2 block level with the help of this method we are able to find fine grained forgery localization.

Other Details

Paper ID: IJSRDV3I70137
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 182-184

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