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An efficient weak sharpening detection method for image forensics.

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Title: An efficient weak sharpening detection method for image forensics.
Authors: Ding, Feng1 fd26@njit.edu, Zhu, Guopu2,3 gp.zhu@siat.ac.cn, Dong, Weiqiang1 wd35@njit.edu, Shi, Yun-Qing1 shi@njit.edu
Source: Journal of Visual Communication & Image Representation. Jan2018, Vol. 50, p93-99. 7p.
Subjects: Statistical methods in image analysis, Forensic sciences, Ternary codes, Image analysis software, Binary codes
Abstract: In recent years, image sharpening detection has become one of the main topics in the field of image forensics. It is, however, still a challenge to detect the images sharpened with weak sharpening strength. To address this challenge, we propose an efficient method for image sharpening detection. In the proposed method, a ternary coding strategy with adaptive threshold is introduced to reveal the overshoot artifacts caused by weak sharpening. Extensive experiments are conducted to illustrate the superiority of the proposed method. The experimental results show that the proposed method can achieve a considerable improvement in sharpening detection, especially for slightly sharpened images. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Visual Communication & Image Representation is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 127388480
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An efficient weak sharpening detection method for image forensics.
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  Data: <searchLink fieldCode="AR" term="%22Ding%2C+Feng%22">Ding, Feng</searchLink><relatesTo>1</relatesTo><i> fd26@njit.edu</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Guopu%22">Zhu, Guopu</searchLink><relatesTo>2,3</relatesTo><i> gp.zhu@siat.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Dong%2C+Weiqiang%22">Dong, Weiqiang</searchLink><relatesTo>1</relatesTo><i> wd35@njit.edu</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Yun-Qing%22">Shi, Yun-Qing</searchLink><relatesTo>1</relatesTo><i> shi@njit.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Visual+Communication+%26+Image+Representation%22">Journal of Visual Communication & Image Representation</searchLink>. Jan2018, Vol. 50, p93-99. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Statistical+methods+in+image+analysis%22">Statistical methods in image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Forensic+sciences%22">Forensic sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Ternary+codes%22">Ternary codes</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis+software%22">Image analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Binary+codes%22">Binary codes</searchLink>
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  Data: In recent years, image sharpening detection has become one of the main topics in the field of image forensics. It is, however, still a challenge to detect the images sharpened with weak sharpening strength. To address this challenge, we propose an efficient method for image sharpening detection. In the proposed method, a ternary coding strategy with adaptive threshold is introduced to reveal the overshoot artifacts caused by weak sharpening. Extensive experiments are conducted to illustrate the superiority of the proposed method. The experimental results show that the proposed method can achieve a considerable improvement in sharpening detection, especially for slightly sharpened images. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Visual Communication & Image Representation is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.jvcir.2017.11.009
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 93
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      – SubjectFull: Statistical methods in image analysis
        Type: general
      – SubjectFull: Forensic sciences
        Type: general
      – SubjectFull: Ternary codes
        Type: general
      – SubjectFull: Image analysis software
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      – SubjectFull: Binary codes
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      – TitleFull: An efficient weak sharpening detection method for image forensics.
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              Text: Jan2018
              Type: published
              Y: 2018
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