Number of the records: 1
Using noise inconsistencies for blind image forensics
- 1.
SYSNO ASEP 0326282 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Using noise inconsistencies for blind image forensics Title Použití šumových nehomogenit při pasivním ověřování pravosti fotografií Author(s) Saic, Stanislav (UTIA-B)
Mahdian, Babak (UTIA-B) RIDSource Title Image and Vision Computing. - : Elsevier - ISSN 0262-8856
Roč. 27, č. 10 (2009), s. 1497-1503Number of pages 8 s. Language eng - English Country US - United States Keywords Image forensics ; Digital forgery ; Image tampering ; Image segmentation Subject RIV IN - Informatics, Computer Science R&D Projects GA102/08/0470 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000268403800008 DOI 10.1016/j.imavis.2009.02.001 Annotation A commonly used tool to conceal the traces of tampering is the addition of locally random noise to the altered image regions. The noise degradation is the main cause of failure of many active or passive image forgery detection methods. The amount of noise is uniform across the entire authentic image. Adding locally random noise may cause inconsistencies in the image’s noise. Therefore, the detection of various noise levels in an image may signify tampering. In this paper, we propose a novel method capable of dividing an investigated image into various partitions with homogenous noise levels. In other words, we introduce a segmentation method detecting changes in noise level. We assume the additive white Gaussian noise. Several examples are shown to demonstrate the proposed method’s output. An extensive quantitative measure of the efficiency of the noise estimation part as a function of different noise standard deviations, region sizes and various JPEG compression qualities is proposed as well. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
Number of the records: 1