Efficient linear local features based copy-move detection algorithm
Автор: Kuznetsov Andrey Vladimirovich, Myasnikov Vladislav Valerievich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 4 т.37, 2013 года.
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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.
Digital image, duplicate, hash function, hash table, histogram, prime galois field linear local features
Короткий адрес: https://sciup.org/14059196
IDR: 14059196
