Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/100378
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Alfraih, Areej S. | - |
dc.contributor.author | Briffa, Johann A. | - |
dc.contributor.author | Wesemeyer, Stephan | - |
dc.date.accessioned | 2022-08-08T05:58:15Z | - |
dc.date.available | 2022-08-08T05:58:15Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Alfraih, A. S., Briffa, J. A., & Wesemeyer, S. (2013, December). Forgery localization based on image chroma feature extraction. In 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013), London. 1-5. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/100378 | - |
dc.description.abstract | Many passive image tamper detection techniques have been presented in the expanding field of image forensics. Some of these techniques use a classifier for a final decision based on whole image statistics, resulting in a lack of forgery localization. The aim of this paper is to add localization to a previously published algorithm that uses grey-level co-occurrence matrix (GLCM) for extracting texture features from the chromatic component of an image (Cb or Cr component). Experimental results show that we can localize tampering for different sized regions with reason able accuracy. The main trade-off is a diminishing detection accuracy as the region size decreases | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | IET | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Forgery | en_GB |
dc.subject | Software localization | en_GB |
dc.subject | Digital images | en_GB |
dc.subject | Digital watermarking | en_GB |
dc.title | Forgery localization based on image chroma feature extraction | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013) | en_GB |
dc.bibliographicCitation.conferenceplace | London, 16-17/12/2013 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1049/ic.2013.0279 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Forgery_localization_based_on_image_chroma_feature_extraction_2013.pdf Restricted Access | 98.56 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.