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Information × Registration Number 0222U000360, 0121U113675 , R & D reports Title Development of methods and means to improve the quality of digital images popup.stage_title Head Udovenko Serhii Н., д.т.н. Registration Date 06-01-2022 Organization Simon Kuznets Kharkiv National University of Economics popup.description2  The report contains: 27 pages, 14 figures, 2 tables, 8 forms, 18 sources. The report examines important aspects of improving the quality of image collections through the use of incomplete duplicate detection methods, which avoids duplication of images in these collections and ensures that only unique (reference) instances arrive at image databases. An analysis of existing methods for detecting incomplete duplicates (Harris detector, SIFT descriptors, TinyImages method, hash method) shows that they do not usually allow to obtain high accuracy and completeness of results for mobile digital image processing tools. To do this, the proposed study solved the following tasks: - analysis of existing methods of comparison and clustering of images by the most representative features; - development of a combined method that allows you to quickly and with acceptable accuracy to find incomplete duplicates in image galleries (in particular, in the gallery of mobile phones). A modified method of image processing is proposed, which allows you to quickly and with acceptable accuracy to find incomplete duplicates in image collections. The modified method is based on the use of a combination of the hash method and accurate methods for detecting incomplete duplicates associated with the selection of defining points on compressed and processed images. Experimental testing of the proposed method confirmed its efficiency. The proposed method provides for the possibility of constant correction of the elements of the image database with the possibility of improving its quality by removing incomplete duplicates and increasing its dimensionality. Product Description popup.authors Vilkhivska Olha V Udovenko Serhii Hryhorovych popup.nrat_date 2022-03-09 Close