Sergey S. Krivenko

19 papers Journal 5Unranked 14
YearRankTypeTitle / Venue / Authors
2024 J jnl
Automated Software Tool for Compressing Optical Images with Required Output Quality.
CoRR
Sergey S. Krivenko, Alexander N. Zemliachenko, Vladimir Lukin, Alexander A. Zelensky
2023 — conf
Blind denoising of dental X-ray images.
Image Processing: Algorithms and Systems
Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko, Karen O. Egiazarian
2022 — conf
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder.
MECO
Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko, Vladimir V. Lukin
2022 — conf
Automatic recognition of congestive heart failure signs in heart rate variability data.
MECO
A. A. Pulavskyi, Sergey S. Krivenko, Stanislav A. Krivenko, I. V. Linskiy, M. F. Posokhov, Liudmyla S. Kryvenko
2022 — conf
On Image Complexity in Viewpoint of Image Processing Performance.
IntelITSIS
Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor O. Makarichev
2021 J jnl
Reduction of Spatially Correlated Speckle in Textured SAR Images.
Int. J. Comput.
Oleksii S. Rubel, Vladimir V. Lukin, Sergey S. Krivenko, Vladimir Pavlikov, Simeon Zhyla, Eduard Tserne
2021 — conf
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection.
CinC
Sergey S. Krivenko, A. A. Pulavskyi, Liudmyla S. Kryvenko, O. V. Krylova, Stanislaw A. Krivenko
2020 — conf
A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality.
DESSERT
Fangfang Li, Sergey S. Krivenko, Vladimir V. Lukin
2020 — conf
Adaptive two-step procedure of providing desired visual quality of compressed image.
EITCE
Fangfang Li, Sergey S. Krivenko, Vladimir Lukin
2020 — conf
Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG.
MECO
A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
2020 J jnl
Lossy Compression of Multichannel Remote Sensing Images with Quality Control.
Remote. Sens.
Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
2019 — conf
Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression.
MECO
A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
2019 — conf
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses.
MECO
Alina S. Nechyporenko, Sergey S. Krivenko, Victoriia Alekseeva, Andrii Lupyr, Nadiia Yurevych, R. S. Nazaryan, V. V. Gargin
2018 — conf
Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability.
MECO
Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
2017 — conf
Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things.
MECO
Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
2013 J jnl
Analysis of classification accuracy for pre-filtered multichannel remote sensing data.
Expert Syst. Appl.
Vladimir V. Lukin, Sergey K. Abramov, Sergey S. Krivenko, Andrey A. Kurekin, Oleksiy B. Pogrebnyak
2013 — conf
Prediction of filtering efficiency for DCT-based image denoising.
MECO
Sergey K. Abramov, Sergey S. Krivenko, Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Mikhail Chobanu
2010 J jnl
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study.
EURASIP J. Adv. Signal Process.
Nikolay N. Ponomarenko, Sergey S. Krivenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola
2008 — conf
Image filter effectiveness characterization based on HVS.
Computational Imaging
Vladimir V. Lukin, Nikolay N. Ponomarenko, Sergey S. Krivenko, Karen O. Egiazarian, Jaakko Astola