JPEG image tampering detection based on blocking artifacts

In the modern world, digital images play very important role in areas like insurance processing, intelligence services, surveillance systems and forensic investigation. After the advent of the digital medium, image forgery has become a threat. In today’s digital age, because of the availability of m...

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Main Author:	Ebrahimi, Ali
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/37855/5/AliEbrahimiMFSKSM2013.pdf
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id	my-utm-ep.37855
record_format	uketd_dc
spelling	my-utm-ep.378552017-07-13T04:12:33Z JPEG image tampering detection based on blocking artifacts 2013-06 Ebrahimi, Ali TA Engineering (General). Civil engineering (General) In the modern world, digital images play very important role in areas like insurance processing, intelligence services, surveillance systems and forensic investigation. After the advent of the digital medium, image forgery has become a threat. In today’s digital age, because of the availability of many image editing and processing tools it is possible to change the information represented by a digital image very easily without leaving any obvious traces of tampering. Since tampering of digital images has become so easy, integrity or authenticity of digital images has become a question, resulting in a need for robust and reliable tamper detection methods. One of the methods that allowed copied areas actual detection on doctored JPEG images is blocking artifacts method. This study analyzes the blocking artifacts method and then proposed a new method to improve it. The improvement enables the blocking artifacts method to detect manipulations that uses painting technique. The proposed method called a Marker algorithm was added to the blocking artifacts method proposed by Tralic, et al. (2012). The addition of this algorithm facilitates the detection process of the blocking artifacts method by making the tampered area more visible. Finally, this study evaluated the proposed method in detecting a tampered area by using the percentage of effective detection as a measure. The analysis shows that the proposed method is capable of making the tampered area more visible, thus improving the blocking artifacts method. 2013-06 Thesis http://eprints.utm.my/id/eprint/37855/ http://eprints.utm.my/id/eprint/37855/5/AliEbrahimiMFSKSM2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Ebrahimi, Ali JPEG image tampering detection based on blocking artifacts
description	In the modern world, digital images play very important role in areas like insurance processing, intelligence services, surveillance systems and forensic investigation. After the advent of the digital medium, image forgery has become a threat. In today’s digital age, because of the availability of many image editing and processing tools it is possible to change the information represented by a digital image very easily without leaving any obvious traces of tampering. Since tampering of digital images has become so easy, integrity or authenticity of digital images has become a question, resulting in a need for robust and reliable tamper detection methods. One of the methods that allowed copied areas actual detection on doctored JPEG images is blocking artifacts method. This study analyzes the blocking artifacts method and then proposed a new method to improve it. The improvement enables the blocking artifacts method to detect manipulations that uses painting technique. The proposed method called a Marker algorithm was added to the blocking artifacts method proposed by Tralic, et al. (2012). The addition of this algorithm facilitates the detection process of the blocking artifacts method by making the tampered area more visible. Finally, this study evaluated the proposed method in detecting a tampered area by using the percentage of effective detection as a measure. The analysis shows that the proposed method is capable of making the tampered area more visible, thus improving the blocking artifacts method.
format	Thesis
qualification_level	Master's degree
author	Ebrahimi, Ali
author_facet	Ebrahimi, Ali
author_sort	Ebrahimi, Ali
title	JPEG image tampering detection based on blocking artifacts
title_short	JPEG image tampering detection based on blocking artifacts
title_full	JPEG image tampering detection based on blocking artifacts
title_fullStr	JPEG image tampering detection based on blocking artifacts
title_full_unstemmed	JPEG image tampering detection based on blocking artifacts
title_sort	jpeg image tampering detection based on blocking artifacts
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/37855/5/AliEbrahimiMFSKSM2013.pdf
_version_	1747816507409170432

JPEG image tampering detection based on blocking artifacts

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