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.
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.
| № | Имя автора | Должность | Наименование организации |
|---|---|---|---|
| 1 | Amer A.. | student | Ajloun National University |
| 2 | Yevstratov M.. | student | National University of Radio Electronics |
| 3 | Valentin L.. | student | Kharkiv National University of Radio Electronics |
| 4 | Vyacheslav L.. | student | Kharkiv National University of Radio Electronics |
| № | Название ссылки |
|---|---|
| 1 | 1. Abu-Jassar, A. T., Al-Sharo, Y. M., Lyashenko, V., & Sotnik, S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654. |
| 2 | 2. Rabotiahov, A., Kobylin, O., Dudar, Z., & Lyashenko, V. (2018, February). Bionic image segmentation of cytology samples method. In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) (pp. 665-670). IEEE. |
| 3 | 3. Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural networks as a tool for pattern recognition of fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160. |
| 4 | 4. Lyashenko, V. V., Matarneh, R., & Deineko, Z. V. (2016). Using the Properties of Wavelet Coefficients of Time Series for Image Analysis and Processing. Journal of Computer Sciences and Applications, 4(2), 27-34. |
| 5 | 5. Lyashenko, V. V., Lyubchenko, V., Ahmad, M. A., Khan, A., & Kobylin, O. A. (2016). The methodology of image processing in the study of the properties of fiber as a reinforcing agent in polymer compositions. International Journal of Advanced Research in Computer Science, 7(1), 15-18. |