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dc.contributor.authorLópez Hernández, Fernando (1)
dc.contributor.authorde-la-Fuente-Valentín, Luis (1)
dc.contributor.authorSarría, Íñigo (1)
dc.date2019-06
dc.date.accessioned2019-07-09T08:47:43Z
dc.date.available2019-07-09T08:47:43Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/8634
dc.description.abstractThis paper describes a quick and simple method to detect brush editing in JPEG images. The novelty of the proposed method is based on detecting the discarded coefficients during the quantization of the image. Another novelty of this paper is the development of a subjective metric named intentions. The method directly analyzes the allegedly tampered image and generates a forgery mask indicating forgery evidence for each image block. The experiments show that our method works especially well in detecting brush strokes, and it works reasonably well with added captions and image splicing. However, the method is less effective detecting copy-moved and blurred regions. This means that our method can effectively contribute to implementing a complete image-tampering detection tool. The editing operations for which our method is less effective can be complemented with methods more adequate to detect them.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligencees_ES
dc.relation.ispartofseries;vol. 5, nº 5
dc.relation.urihttps://www.ijimai.org/journal/node/2573es_ES
dc.rightsopenAccesses_ES
dc.subjectimagees_ES
dc.subjectforgeryes_ES
dc.subjectbrushes_ES
dc.subjectstrokees_ES
dc.subjectcaptiones_ES
dc.subjectEmerginges_ES
dc.titleDetecting image brush editing using the discarded coefficients and intentionses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2018.08.003


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