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Computer Optics, 2013, Volume 37, Issue 4, Pages 489–495 (Mi co627)  

IMAGE PROCESSING, PATTERN RECOGNITION

Efficient linear local features based copy-move detection algorithm

A. V. Kuznetsova, V. V. Myasnikovab

a S.P. Korolyov Samara State Aerospace University (National Reseach University)
b Image Processing Systems Institute of the RAS
References:
Abstract: In this paper we propose a new algorithm to detect copy-move matching parts on digital images. The algorithm uses a representation of the image’s analyzed region as the value of a specially selected hash function. Actually, the hash function is constructed using the effective linear local features. The developed algorithm is compared with existing algorithm based on CRT, the recommendations are given.
Keywords: digital image, duplicate, hash function, hash table, histogram, prime Galois field linear local features.
Funding agency Grant number
Russian Foundation for Basic Research 13-07-12103-офи-м
13-01-12080-офи-м
12-07-00021-а
Russian Academy of Sciences - Federal Agency for Scientific Organizations
Ministry of Science and Higher Education of the Russian Federation 02.Г36.31.0001
This work was supported by: - RFBR grants, projects No. 13-07-12103-ofi-m, 13-01-12080-ofi-m, 12-07-00021-a; - The fundamental research problems of informatics and information technologies programs of fundamental research of the Presidium of the Russian Academy of Sciences, project 2.12; - The Ministry of Education and Science of the Russian Federation in the framework of the Decree of the Government of the Russian Federation of April 9, 2010 No. 218: Contract No. 02.Г36.31.0001 of February 12, 2013.
Received: 11.09.2013
Document Type: Article
Language: Russian
Citation: A. V. Kuznetsov, V. V. Myasnikov, “Efficient linear local features based copy-move detection algorithm”, Computer Optics, 37:4 (2013), 489–495
Citation in format AMSBIB
\Bibitem{KuzMya13}
\by A.~V.~Kuznetsov, V.~V.~Myasnikov
\paper Efficient linear local features based copy-move detection algorithm
\jour Computer Optics
\yr 2013
\vol 37
\issue 4
\pages 489--495
\mathnet{http://mi.mathnet.ru/co627}
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  • https://www.mathnet.ru/eng/co/v37/i4/p489
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