ICTACT Journal on Image and Video Processing

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Detecting Digital Image forgeries Using Re-Sampling by Automatic Region of Interest (ROI)


Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, India
2 Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, India
     

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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.

Keywords

Digital Forensics, Interpolation, Resampling Detection, Auto-ROI.
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  • Detecting Digital Image forgeries Using Re-Sampling by Automatic Region of Interest (ROI)

Abstract Views: 168  |  PDF Views: 0

Authors

P. Subathra
Department of Computer Science and Engineering, Amrita School of Engineering, India
A. Baskar
Department of Computer Science and Engineering, Amrita School of Engineering, India
D. Senthil Kumar
Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, India

Abstract


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.

Keywords


Digital Forensics, Interpolation, Resampling Detection, Auto-ROI.