Source camera model identification using features from contaminated sensor noise

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9569, Issue , 2016, Pages 83-93

  Tuama, Amel ^b,c   Comby, Frederic ^b,c   Chaumont, Marc ^a,b,c  

^a CC 051 Pl E Bataillon   (France)

^b LIRMM   (France)

^c CNRS   (France)

Author keywords

Camera model identification; CFA; Co occurrences matrix; Feature extraction; POL PRNU; Rich model

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRONIC CRIME COUNTERMEASURES; FEATURE EXTRACTION; LEARNING SYSTEMS; WAVELET ANALYSIS;

CAMERA MODEL IDENTIFICATIONS; CO-OCCURRENCE; DEMOSAICING ARTIFACTS; DENOISING FILTERS; HIGH ORDER STATISTICS; MACHINE LEARNING TECHNIQUES; POL-PRNU; SETS OF FEATURES;

CAMERAS;

EID: 84964048551     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-31960-5_8     Document Type: Article

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