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Source Camera Identification Techniques: A Survey
Chijioke Emeka Nwokeji
, Akbar Sheikh-Akbari
, Anatoliy Gorbenko
,
Iosif Mporas
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Centre for Engineering Research
BioEngineering
Communications and Intelligent Systems
Networks and Security Research Centre
Research output
:
Contribution to journal
›
Review article
›
peer-review
13
Citations (Scopus)
35
Downloads (Pure)
Overview
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Keyphrases
Source Camera Identification
100%
Identification Method
100%
Source Camera
66%
Comprehensive Comparison
33%
Digital Image
33%
Optical Distortion
33%
Image Assessment
33%
Sensor Pattern Noise
33%
Insurance Fraud
33%
Image Data
33%
Brand Model
33%
Scientific Fraud
33%
Publicly Available
33%
Software Artifacts
33%
Image Sources
33%
Color Filter Array
33%
Existing Techniques
33%
Traffic Monitoring
33%
Individual Image
33%
White Balance
33%
Reasonable Doubt
33%
Movie piracy
33%
Assessment Criteria
33%
Child Pornography
33%
Computer Science
Identification Technique
100%
Successful Investigation
50%
Reasonable Doubt
50%
Assessment Criteria
50%
Successful Prosecution
50%
Movie Piracy
50%
Computer Hardware
50%
Traffic Monitoring
50%
color filter array
50%