Кафедра медіасистем та технологій (МСТ)

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Color correction of the input image as an element of improving the quality of its visualization
(2024) Yevstratov, M.; Lyubchenko, V.; Abu-Jassar Amer; Lyashenko, V.
Image analysis and processing is constantly in the focus of attention of researchers. At the same time, special attention is paid to improving the quality of visualization, which is in demand in various applications: from medicine to printing. The solution to the problem is proposed to be achieved by correcting the color rendition of the original image, where the corresponding image perception metrics are used for analysis. The paper presents the results of the study based on the example of a well-known digital image.
Digital image segmentation procedure as an example of an NP-problem
(2024) Lyubchenko, V.; Veretelnyk, K.; Kots, P.; Lyashenko, V.
Digital images are a source of additional information about the world around us. Such a source plays an important role in the process of medical diagnosis and research into human health. Digital imaging allows you to obtain the necessary information remotely without additional interference in human life. This can be done using various digital image processing and analysis techniques. However, these methods are typically an NP-problem. The paper discusses the procedure for segmenting medical digital images. The criteria are shown to achieve the required solution when segmenting an image as an NP-problem.