Enhanced Passive copy – paste Tampering Detection Technique for Digital Images
Ar. Guru Gokul, N Kumaratharan and P Suguna. Article: Enhanced Passive copy – paste Tampering Detection Technique for Digital Images. IJCA Proceedings on International Conference on Information and Communication Technologies ICICT(3):29-32, October 2014. Full text available. BibTeX
@article{key:article,
author = {Ar. Guru Gokul and N. Kumaratharan and P. Suguna},
title = {Article: Enhanced Passive copy – paste Tampering Detection Technique for Digital Images},
journal = {IJCA Proceedings on International Conference on Information and Communication Technologies},
year = {2014},
volume = {ICICT},
number = {3},
pages = {29-32},
month = {October},
note = {Full text available}
}
Abstract
Digital images are powerful and widely used communication medium in many fields like medical imaging, digital forensics, surveillance, journalism, etc. The availability of sophisticated digital image technology has given rise to image forgery. The forgeries are very difficult for a human eye to detect. Passive tampering detection method aims to detect the tampering areas in the digital images without any prior knowledge of the original images. The available tampering detection technique uses 8 x 8 blocks to detect the tampered region. However, all the pixels involved in the block are not compared, which again leads to a forgery. To mitigate these effects, a new progressive passive copy-paste tampering detection technique is proposed. Experimental result shows that the proposed technique overcomes the foresaid technique which enhances the tampering detection method.
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