Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/100378
Title: | Forgery localization based on image chroma feature extraction |
Authors: | Alfraih, Areej S. Briffa, Johann A. Wesemeyer, Stephan |
Keywords: | Forgery Software localization Digital images Digital watermarking |
Issue Date: | 2013 |
Publisher: | IET |
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. |
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 |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/100378 |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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Forgery_localization_based_on_image_chroma_feature_extraction_2013.pdf Restricted Access | 98.56 kB | Adobe PDF | View/Open Request a copy |
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