DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)

Nowadays, digital images can be easily altered by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. It will affect the authenticity of images in law, politics, the media, and business. In this paper, we proposed a Resampling technique using automatic sel...

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Main Authors: P. Subathra, A. Baskar, D. Senthil Kumar
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2012-05-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Online Access:http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P2_405_409.pdf
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author P. Subathra
A. Baskar
D. Senthil Kumar
author_facet P. Subathra
A. Baskar
D. Senthil Kumar
author_sort P. Subathra
collection DOAJ
description Nowadays, digital images can be easily altered by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. It will affect the authenticity of images in law, politics, the media, and business. In this paper, we proposed a Resampling technique using automatic selection of Region of Interest (ROI) method for finding the authenticity of digitally altered image. The proposed technique provides better results beneath scaling, rotation, skewing transformations, and any of their arbitrary combinations in image. It surmounts the protracted complexity in manual ROI selection.
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spelling doaj.art-c4bb55dd3a9543d8a62b5ce228e92f882022-12-21T19:06:14ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022012-05-0124405409DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)P. Subathra0A. Baskar1D. Senthil Kumar2Department of Computer Science and Engineering, Amrita School of Engineering, IndiaDepartment of Computer Science and Engineering, Amrita School of Engineering, IndiaDepartment of Computer Science and Engineering, Anna University of Technology Tiruchirappalli, IndiaNowadays, digital images can be easily altered by using high-performance computers, sophisticated photo-editing, computer graphics software, etc. It will affect the authenticity of images in law, politics, the media, and business. In this paper, we proposed a Resampling technique using automatic selection of Region of Interest (ROI) method for finding the authenticity of digitally altered image. The proposed technique provides better results beneath scaling, rotation, skewing transformations, and any of their arbitrary combinations in image. It surmounts the protracted complexity in manual ROI selection.http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P2_405_409.pdfDigital ForensicsInterpolationResampling DetectionAuto-ROI
spellingShingle P. Subathra
A. Baskar
D. Senthil Kumar
DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
ICTACT Journal on Image and Video Processing
Digital Forensics
Interpolation
Resampling Detection
Auto-ROI
title DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
title_full DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
title_fullStr DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
title_full_unstemmed DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
title_short DETECTING DIGITAL IMAGE FORGERIES USING RE-SAMPLING BY AUTOMATIC REGION OF INTEREST (ROI)
title_sort detecting digital image forgeries using re sampling by automatic region of interest roi
topic Digital Forensics
Interpolation
Resampling Detection
Auto-ROI
url http://ictactjournals.in/paper/IJIVP_Vol2_Iss4_P2_405_409.pdf
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AT abaskar detectingdigitalimageforgeriesusingresamplingbyautomaticregionofinterestroi
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