Image tampering detection based on a statistical model

This paper presents a novel method for image manipulation iden- tification of natural images in JPEG format. The image forgery detection technique is based on a signal-dependent noise model that is relevant to de- scribe a natural image acquired by a digital camera. This parametric model is characte...

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Veröffentlicht in:	Multimedia tools and applications 2021-09, Vol.80 (21-23), p.32905-32924
Hauptverfasser:	Doan, Thi Ngoc Canh, Retraint, Florent, Zitzmann, Cathel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Communication Networks Computer Science Data Structures and Information Theory Digital cameras Digital imaging Engineering Sciences Filtration Forgery Hypothesis testing Image acquisition Image compression Image manipulation Likelihood ratio Multimedia Information Systems Signal and Image processing Special Purpose and Application-Based Systems Statistical models
Online-Zugang:	Volltext
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