Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/653527
Title: Improved Tampering Localization in Digital Image Forensics Based on Maximal Entropy Random Walk
Authors: Paweł Korus;Jiwu Huang
subject: visual saliency|maximal entropy random walk|Digital image forensics|JPEG splicing|first-digit features|tampering localization
Year: 2016
Publisher: IEEE
Abstract: In this paper we propose to use maximal entropy random walk on a graph for tampering localization in digital image forensics. Our approach serves as an additional post-processing step after conventional sliding-window analysis with a forensic detector. Strong localization property of this random walk will highlight important regions and attenuate the background - even for noisy response maps. Our evaluation shows that the proposed method can significantly outperform both the commonly used threshold-based decision, and the recently proposed optimization-based approach with a Markovian prior.
URI: http://localhost/handle/Hannan/139131
http://localhost/handle/Hannan/653527
ISSN: 1070-9908
1558-2361
volume: 23
issue: 1
Appears in Collections:2016

Files in This Item:
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7353154.pdf842.92 kBAdobe PDFThumbnail
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Title: Improved Tampering Localization in Digital Image Forensics Based on Maximal Entropy Random Walk
Authors: Paweł Korus;Jiwu Huang
subject: visual saliency|maximal entropy random walk|Digital image forensics|JPEG splicing|first-digit features|tampering localization
Year: 2016
Publisher: IEEE
Abstract: In this paper we propose to use maximal entropy random walk on a graph for tampering localization in digital image forensics. Our approach serves as an additional post-processing step after conventional sliding-window analysis with a forensic detector. Strong localization property of this random walk will highlight important regions and attenuate the background - even for noisy response maps. Our evaluation shows that the proposed method can significantly outperform both the commonly used threshold-based decision, and the recently proposed optimization-based approach with a Markovian prior.
URI: http://localhost/handle/Hannan/139131
http://localhost/handle/Hannan/653527
ISSN: 1070-9908
1558-2361
volume: 23
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7353154.pdf842.92 kBAdobe PDFThumbnail
Preview File
Title: Improved Tampering Localization in Digital Image Forensics Based on Maximal Entropy Random Walk
Authors: Paweł Korus;Jiwu Huang
subject: visual saliency|maximal entropy random walk|Digital image forensics|JPEG splicing|first-digit features|tampering localization
Year: 2016
Publisher: IEEE
Abstract: In this paper we propose to use maximal entropy random walk on a graph for tampering localization in digital image forensics. Our approach serves as an additional post-processing step after conventional sliding-window analysis with a forensic detector. Strong localization property of this random walk will highlight important regions and attenuate the background - even for noisy response maps. Our evaluation shows that the proposed method can significantly outperform both the commonly used threshold-based decision, and the recently proposed optimization-based approach with a Markovian prior.
URI: http://localhost/handle/Hannan/139131
http://localhost/handle/Hannan/653527
ISSN: 1070-9908
1558-2361
volume: 23
issue: 1
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7353154.pdf842.92 kBAdobe PDFThumbnail
Preview File