About: Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #69341 Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts
sameAs	Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts
http://eprints.org/ontology/hasDocument	Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (PDF) Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (Other) Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (Other) Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (Other) Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (Other) Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (Other)
http://eprints.org/ontology/hasPublished	Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (PDF)
dc:hasVersion	Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts (PDF)
Title	Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2018-08-25
Creator	Ana Sandoval Orozco Edgar González Fernández J. Hernandez-Castro Luis García Villalba
status	peer reviewed published
Publisher	MDPI
abstract	Existence of mobile devices with high performance cameras and powerful image processing applications eases the alteration of digital images for malicious purposes. This work presents a new approach to detect digital image tamper detection technique based on CFA artifacts arising from the differences in the distribution of acquired and interpolated pixels. The experimental evidence supports the capabilities of the proposed method for detecting a broad range of manipulations, e.g., copy-move, resizing, rotation, filtering and colorization. This technique exhibits tampered areas by computing the probability of each pixel of being interpolated and then applying the DCT on small blocks of the probability map. The value of the coefficient for the highest frequency on each block is used to decide whether the analyzed region has been tampered or not. The results shown here were obtained from tests made on a publicly available dataset of tampered images for forensic analysis. Affected zones are clearly highlighted if the method detects CFA inconsistencies. The analysis can be considered successful if the modified zone, or an important part of it, is accurately detected. By analizing a publicly available dataset with images modified with different methods we reach an 86% of accuracy, which provides a good result for a method that does not require previous training.
Is Part Of	Sensors https://kar.kent.ac.uk/id/repository
Subject	Q Science (General) QA 76 Software, computer programming,
list of authors	https://kar.kent.ac.uk/id/eprint/69341#authors
issue	9
volume	18
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #69341 Digital Image Tamper Detection Technique Based on Spectrum Analysis of CFA Artifacts

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