| 2023 | CSIT | Test Images for Training Convolutional Neural Networks for Image Contrast Assessment. | Arkadiusz Talun, Pawel Drozda, Yuriy Romanyshyn, Oles Tehlivets, Sergei Yelmanov |
| 2020 | CSIT | New Technique of Recursive Mean-Separate Contrast Stretching for Image Enhancement. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2020 | CSIT | A Quantitative Assessment of the Incomplete Integral Contrast for Complex Images. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2020 | CSIT | A New Approach to Improving Images by Transforming their Intensity. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2020 | CSIT | Assessment of the Incomplete Integral Contrast for Complex Image. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2019 | CSIT | A New Approach to Image Intensity Transformation Based on Equalizing the Distribution Density of Contrast. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2019 | CSIT | A New Approach to Image Enhancement Based on Modified Histogram Equalization. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2019 | CSIT | A New Approach to Image Enhancement by Intensity Transformation. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2018 | CSIT | A New Approach to Image Enhancement Based on the Use of Raw Moments for Subranges of Brightness. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2018 | CSIT | A New Approach to Measuring Perceived Contrast for Complex Images. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2018 | CSIT | A New Technique for Image Enhancement Based on the use of Mean Values for Subranges of Brightness. | Sergei Yelmanov, Yuriy Romanyshyn |
| 2018 | CSIT | Assessment of Perceived Contrast for Complex Images. | Sergei Yelmanov, Yuriy Romanyshyn |