File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: JPEG image width estimation for file carving

TitleJPEG image width estimation for file carving
Authors
KeywordsImage coding
Quantisation (signal)
Discrete cosine transforms
Issue Date2018
PublisherThe Institution of Engineering and Technology. The Journal's web site is located at http://digital-library.theiet.org/IET-IPR
Citation
IET Image Processing, 2018, v. 12 n. 7, p. 1245-1252 How to Cite?
AbstractImage width is an important factor for making the partially recovered data perceptually meaningful in image file carving. The authors conduct a comprehensive comparison of the performance of the representative methods for estimating the JPEG image width. Experimental results show that the best methods based on pixels are always better than the best methods based on quantised discrete cosine transform (DCT) coefficients. To keep the good performance of the pixel-based methods when the correct quantisation tables are unavailable, the authors replace the correct quantisation tables with the standard ones. Experimental results certify that such a replacement has only a little effect on the performance of the pixel-based methods, the best of which still outperform the best methods based on quantised DCT coefficients. The two results indicate that it may be enough to just focus on the pixel-based methods for future work. Finally, they propose a pixel-based method, which derives the candidate image widths from the most likely adjacent minimum coded unit (MCU) pairs in the vertical direction. The candidate width which appears most frequently is chosen as the estimated image width. Experimental results show that the proposed method usually has the best performance when most MCUs of an image are recovered.
Persistent Identifierhttp://hdl.handle.net/10722/262469
ISSN
2017 Impact Factor: 1.401
2015 SCImago Journal Rankings: 0.425
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, XY-
dc.contributor.authorHan, Q-
dc.contributor.authorNiu, XM-
dc.contributor.authorZhang, HL-
dc.contributor.authorYiu, SM-
dc.contributor.authorFang, JB-
dc.date.accessioned2018-09-28T04:59:49Z-
dc.date.available2018-09-28T04:59:49Z-
dc.date.issued2018-
dc.identifier.citationIET Image Processing, 2018, v. 12 n. 7, p. 1245-1252-
dc.identifier.issn1751-9659-
dc.identifier.urihttp://hdl.handle.net/10722/262469-
dc.description.abstractImage width is an important factor for making the partially recovered data perceptually meaningful in image file carving. The authors conduct a comprehensive comparison of the performance of the representative methods for estimating the JPEG image width. Experimental results show that the best methods based on pixels are always better than the best methods based on quantised discrete cosine transform (DCT) coefficients. To keep the good performance of the pixel-based methods when the correct quantisation tables are unavailable, the authors replace the correct quantisation tables with the standard ones. Experimental results certify that such a replacement has only a little effect on the performance of the pixel-based methods, the best of which still outperform the best methods based on quantised DCT coefficients. The two results indicate that it may be enough to just focus on the pixel-based methods for future work. Finally, they propose a pixel-based method, which derives the candidate image widths from the most likely adjacent minimum coded unit (MCU) pairs in the vertical direction. The candidate width which appears most frequently is chosen as the estimated image width. Experimental results show that the proposed method usually has the best performance when most MCUs of an image are recovered.-
dc.languageeng-
dc.publisherThe Institution of Engineering and Technology. The Journal's web site is located at http://digital-library.theiet.org/IET-IPR-
dc.relation.ispartofIET Image Processing-
dc.rights“This paper is a postprint of a paper submitted to and accepted for publication in [journal] and is subject to IET copyright. The copy of record is available at IET Digital Library URL” Pre-print to be removed on publication-
dc.subjectImage coding-
dc.subjectQuantisation (signal)-
dc.subjectDiscrete cosine transforms-
dc.titleJPEG image width estimation for file carving-
dc.typeArticle-
dc.identifier.emailYiu, SM: smyiu@cs.hku.hk-
dc.identifier.authorityYiu, SM=rp00207-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1049/iet-ipr.2016.0531-
dc.identifier.scopuseid_2-s2.0-85048606751-
dc.identifier.hkuros292125-
dc.identifier.volume12-
dc.identifier.issue7-
dc.identifier.spage1245-
dc.identifier.epage1252-
dc.identifier.isiWOS:000435301200021-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats