Back to Search Start Over

A Novel Decision Fusion Method for Image Forgery Localization

Authors :
Xin-Hua Tang
Wei-Wei Zhang
Source :
2018 37th Chinese Control Conference (CCC).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

To obtain more reliable localization performance, we propose a new image forgery localization scheme, which fuses the output of two diverse tools, based on PRNU and PatchMatch algorithm, respectively. First, tampering possibility maps are obtained from each of the two approaches, and then Dempster-Shafer theory of evidence is used as decision fusion strategy to obtain the final localization map. Comparison with single approach shows an improvement in tampering localization accuracy.

Subjects

Subjects :
Scheme (programming language)
021110 strategic, defence & security studies
business.industry
Computer science
Noise reduction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
02 engineering and technology
Digital image
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Image forgery
Decision fusion
Computer vision
Artificial intelligence
business
computer
computer.programming_language

Details

Database :
OpenAIRE
Journal :
2018 37th Chinese Control Conference (CCC)
Accession number :
edsair.doi...........f608993690b7e234c0cdcb7e1956ff45
Full Text :
https://doi.org/10.23919/chicc.2018.8482949
Full Text Access
View/download PDF

Tools

Authors Abstract Subjects Details