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2020 – today
- 2023
[c23]Arkadiusz Talun, Pawel Drozda, Yuriy Romanyshyn, Oles Tehlivets, Sergei Yelmanov:
Test Images for Training Convolutional Neural Networks for Image Contrast Assessment. CSIT 2023: 1-4- [c22]Arkadiusz Talun, Pawel Drozda, Sergei Yelmanov, Yuriy Romanyshyn, Oles Tehlivets:
Convolutional Neural Network Assessment of Image Quality Based on the TID2013 Database. IDAACS 2023: 1088-1092 - 2022
- [c21]Sergei Yelmanov, Yuriy Romanyshyn:
Assessing the Information Capacity of Image Based on the Theory of Contrast. CCWC 2022: 1018-1023 - 2021
- [c20]Sergei Yelmanov, Yuriy Romanyshyn:
Image Enhancement by Recursive Correction of its Average Brightness. CCWC 2021: 1256-1262 - [c19]Sergei Yelmanov, Yuriy Romanyshyn:
Image Enhancement by Gain-Limited Histogram Equalization. EUROCON 2021: 259-264 - 2020
- [c18]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Improving Images by Transforming their Intensity. CSIT (1) 2020: 382-386 - [c17]Sergei Yelmanov, Yuriy Romanyshyn:
Assessment of the Incomplete Integral Contrast for Complex Image. CSIT (1) 2020: 440-444 - [c16]Sergei Yelmanov
, Yuriy Romanyshyn:
New Technique of Recursive Mean-Separate Contrast Stretching for Image Enhancement. CSIT 2020: 1078-1100 - [c15]Sergei Yelmanov, Yuriy Romanyshyn:
A Quantitative Assessment of the Incomplete Integral Contrast for Complex Images. CSIT 2020: 1146-1163 - [c14]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Image Enhancement by Non-Linear Contrast Stretching. DSMP 2020: 178-184 - [c13]Sergei Yelmanov, Yuriy Romanyshyn:
A Quick No-Reference Quantification of the Overall Contrast of an Image. DSMP 2020: 185-190 - [c12]Sergei Yelmanov, Yuriy Romanyshyn:
Image Enhancement in Automatic Mode by Recursive Mean-Separate Contrast Stretching. DSMP (Selected Papers) 2020: 288-306
2010 – 2019
- 2019
- [c11]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Image Enhancement Based on Modified Histogram Equalization. CSIT (1) 2019: 5-9 - [c10]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Image Enhancement by Intensity Transformation. CSIT (1) 2019: 33-37 - [c9]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Image Intensity Transformation Based on Equalizing the Distribution Density of Contrast. CSIT 2019: 401-420 - 2018
- [c8]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Image Enhancement Based on the Use of Raw Moments for Subranges of Brightness. CSIT 2018: 65-84 - [c7]Sergei Yelmanov, Yuriy Romanyshyn:
A New Approach to Measuring Perceived Contrast for Complex Images. CSIT 2018: 85-101 - [c6]Sergei Yelmanov, Yuriy Romanyshyn:
A New Technique for Image Enhancement Based on the use of Mean Values for Subranges of Brightness. CSIT (1) 2018: 249-252 - [c5]Sergei Yelmanov, Yuriy Romanyshyn:
Assessment of Perceived Contrast for Complex Images. CSIT (1) 2018: 283-287 - [c4]Sergei Yelmanov, Yuriy Romanyshyn:
A Generalized Description for the Perceived Contrast of Image Elements. DSMP 2018: 488-493 - [c3]Sergei Yelmanov, Yuriy Romanyshyn:
Image Contrast Enhancement Using a Modified Histogram Equalization. DSMP 2018: 568-573 - [c2]Sergei Yelmanov, Yuriy Romanyshyn:
Rapid No-Reference Contrast Assessment for Wireless-based Smart Video Applications. IDAACS-SWS 2018: 171-174 - [c1]Sergei Yelmanov, Yuriy Romanyshyn:
Image Contrast Enhancement for Smart Cameras in Wireless / Mobile Video Applications. IDAACS-SWS 2018: 184-186
Coauthor Index
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