Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Sergei Yelmanov"'
Assessment of Image Information Capacity Based on the Analysis of Brightness Increments Distribution
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO).
Autor:
Arkadiusz Talun, Pawel Drozda, Sergei Yelmanov, Orest Lavriv, Yuriy Romanyshyn, Hryhorii Vaskiv
Publikováno v:
2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
2022 IEEE 16th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET).
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC).
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT).
This study is devoted to the problem of improving digital image and video in real-time applications. This paper looks at the task of enhancing images in automatic mode without distortions and loss of information. This work addresses the challenge of
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
2021 IEEE 16th International Conference on the Experience of Designing and Application of CAD Systems (CADSM).
This paper is devoted to solving the issue of improving the quality of video content (digital photos and videos) in real-time apps. This work aims to improve the efficiency of enhancing complex images through adaptive power-law intensity transformati
Autor:
Yuriy Romanyshyn, Sergei Yelmanov
Publikováno v:
CCWC
This article discusses improving the efficiency of image and video enhancements in real-time apps. The aim of this work is to increase the efficiency of improving image quality in automatic mode by transforming image intensity using adaptive piecewis
Autor:
Yuriy Romanyshyn, Sergei Yelmanov
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030632694
Contrast is the key factor that determines the quality of the image and effectiveness of its visual perception. The purpose of this work is to improve the accuracy of quantifying the contrast of complex multi-element images using different metrics. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d2a4f07c2466b27f730906cb18b3cf
https://doi.org/10.1007/978-3-030-63270-0_77
https://doi.org/10.1007/978-3-030-63270-0_77
Autor:
Sergei Yelmanov, Yuriy Romanyshyn
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030632694
Creating new, effective, and easy-to-implement techniques of image enhancement for real-time use in mobile applications is now extremely relevant. This paper addresses the problem of improving the efficiency of enhancing images by transforming their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::402b5c363c43d63fb78ef782ef600d69
https://doi.org/10.1007/978-3-030-63270-0_73
https://doi.org/10.1007/978-3-030-63270-0_73
Autor:
Yuriy Romanyshyn, Sergei Yelmanov
Publikováno v:
2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT).
In this work, a new approach to rapidly assessing the global image contrast was proposed by quantifying its incomplete integral contrast. At the heart of this approach is a proposed new assessment for the joint distribution of image brightness. At th