{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T04:39:44Z","timestamp":1782275984900,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>In digital forensics, the detection of the presence of tampered images is of significant importance. The problem with the existing literature is that majority of them identify certain features in images tampered by a specific tampering method (such as copy-move, splicing, etc). This means that the method does not work reliably across various tampering methods. In addition, in terms of tampered region localization, most of the work targets only JPEG images due to the exploitation of double compression artifacts left during the re-compression of the manipulated image. However, in reality, digital forensics tools should not be specific to any image format and should also be able to localize the region of the image that was modified.<\/jats:p>","DOI":"10.3233\/978-1-61499-617-0-1","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T04:38:17Z","timestamp":1740026297000},"source":"Crossref","is-referenced-by-count":14,"title":["Image Region Forgery Detection: A Deep Learning Approach"],"prefix":"10.3233","author":[{"family":"Zhang Ying","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Goh Jonathan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Win Lei Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Thing Vrizlynn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Cryptology and Information Security Series","Proceedings of the Singapore Cyber-Security Conference (SG-CRC) 2016"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T04:46:04Z","timestamp":1740026764000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-616-3&spage=1&doi=10.3233\/978-1-61499-617-0-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-617-0-1","relation":{"is-cited-by":[{"id-type":"doi","id":"10.1007\/s11042-019-08480-6","asserted-by":"object"}]},"ISSN":["1871-6431"],"issn-type":[{"value":"1871-6431","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}