Efficient Markov feature extraction method for image splicing detection using maximization and threshold expansion

Journal of Electronic Imaging

Volumn 25, Issue 2, 2016, Pages

  Han, Jong Goo ^a   Park, Tae Hee ^b   Moon, Yong Ho ^c   Eom, Il Kyu ^a  

^a Pusan National University   (South Korea)

^b Tongmyong University   (South Korea)

^c Gyeongsang National University   (South Korea)

Author keywords

discrete cosine transform; Markov probability matrix; Markov state decomposition; maximization; splicing detection; Splicing forgery; support vector machine; threshold expansion

Indexed keywords

ALGORITHMS; COLOR; DISCRETE COSINE TRANSFORMS; EXTRACTION; IMAGE CODING; IMAGE PROCESSING; OPTIMIZATION; SUPPORT VECTOR MACHINES;

DECOMPOSITION ALGORITHM; EXPERIMENTAL SIMULATIONS; FEATURE EXTRACTION METHODS; IMAGE SPLICING DETECTION; KULLBACK LEIBLER DIVERGENCE; MARKOV STATE; PROBABILITY MATRIXES; SPLICING DETECTIONS;

FEATURE EXTRACTION;

EID: 84968796775     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.JEI.25.2.023031     Document Type: Article

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