A robust and forensic transform for copy move digital image forgery detection based on dense depth block matching

Autor:	Rajeev Rajkumar, Sudipta Roy, Khumanthem Manglem Singh
Rok vydání:	2019
Předmět:	Authentication Matching (graph theory) Forgery detection Computer science business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Digital image Transformation (function) 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Block (data storage)
Zdroj:	The Imaging Science Journal. 67:343-357
ISSN:	1743-131X 1368-2199
DOI:	10.1080/13682199.2019.1663069
Popis:	Copy-move forgery is one of the most popular tampering artefacts in digital images. However, tampering effect in digital images makes the authentication of the processing as untrustworthy. In this ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::652e10470d2d6cf1c826cdce18925bc4 https://doi.org/10.1080/13682199.2019.1663069 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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