Tamper Detection of JPEG Image Due to Seam Modifications

Kanoksak Wattanachote, Timothy K. Shih, Wen Lung Chang, Hon Hang Chang

研究成果: 雜誌貢獻期刊論文同行評審

43 引文 斯高帕斯(Scopus)

摘要

Content-aware image retargeting has been investigated since the last decade as a paradigm of image modification for proper display on the different screen sizes. Modifications, such as seam carving or seam insertion, have been introduced to achieve aforesaid image retargeting. The changes in an image are not easily recognizable by human eyes. Inspired by the blocking artifact characteristics matrix (BACM), a method to detect tampers caused by seam modification on JPEG retargeted images without knowledge of the original image is proposed in this paper. In a BACM block matrix, we found that the original JPEG image demonstrates a regular symmetrical data, whereas the symmetrical data in a block reconstructed by seam modification is destroyed. Twenty-two features are proposed to train the data using a support vector machine classification method. The experimental results clearly demonstrate that the proposed method provides a very high recognition rate for those JPEG retargeted images. The source codes and the complete experimental data can be accessed at http://video.minelab.tw/DETS/.

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文章編號7180354
頁(從 - 到)2477-2491
頁數15
期刊IEEE Transactions on Information Forensics and Security
10
發行號12
DOIs
出版狀態已出版 - 12月 2015

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