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JOURNALS // Vestnik of Astrakhan State Technical University. Series: Management, Computer Sciences and Informatics // Archive

Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2020 Number 4, Pages 29–37 (Mi vagtu646)

COMPUTER SOFTWARE AND COMPUTING EQUIPMENT

Brightness-contrast magnifier algorithm and methods of its enhancing

A. B. Raukhvarger, P. A. Durandin

Yaroslavl State Technical University, Yaroslavl, Russian Federation

Abstract: The paper considers the algorithmic basis of the developed application, which allows the user to select image fragments for viewing not only in enlarged form, but also with increased detail distinctness through brightness-contrast transformations. There has been proposed an algorithm of upsizing and processing the selected image fragment according to the required parameters of average brightness and contrast. The advantages of the proposed method of image processing in comparison with global methods for processing the entire image are investigated. The considered approach develops the advantages when marking low-contrast fragments that are close to monotone in images with fragments of different brightness. The experiments on processing various fragments of images were carried out using a specially developed program. The examples of results have been presented. The behavior of two types of fragments on simplified models of pixel brightness distribution has been analyzed, and for this reason there was made a conclusion about further improving the approach.

Keywords: digital images, fragment processing, contrast, brightness, element discernibility, television algorithm, pixel.

UDC: 004.932

Received: 18.12.2019

DOI: 10.24143/2072-9502-2020-4-29-37



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