Sergey S. Krivenko

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 14

Top Topics

Lossy Compression

Top Venues

Image Processing: Algorithms and Systems

Publications

Mykola Ponomarenko, Oleksandr Miroshnichenko, Vladimir V. Lukin, Sergey S. Krivenko, Karen O. Egiazarian
Blind denoising of dental X-ray images. Image Processing: Algorithms and Systems (2023)
A. A. Pulavskyi, Sergey S. Krivenko, Stanislav A. Krivenko, I. V. Linskiy, M. F. Posokhov, Liudmyla S. Kryvenko
Automatic recognition of congestive heart failure signs in heart rate variability data. MECO (2022)
Liudmyla S. Kryvenko, Olha Krylova, Sergey S. Krivenko, Vladimir V. Lukin
A Fast Noniterative Visually Lossless Compression of Dental Images Using BPG Coder. MECO (2022)
Vladimir V. Lukin, Sergey S. Krivenko, Fangfang Li, Sergey Abramov, Viktor O. Makarichev
On Image Complexity in Viewpoint of Image Processing Performance. IntelITSIS (2022)
Sergey S. Krivenko, A. A. Pulavskyi, Liudmyla S. Kryvenko, O. V. Krylova, Sergey A. Krivenko
Using Mel-Frequency Cepstrum and Amplitude-Time Heart Variability as XGBoost Handcrafted Features for Heart Disease Detection. CinC (2021)
Oleksii S. Rubel, Vladimir V. Lukin, Sergey S. Krivenko, Vladimir Pavlikov, Simeon Zhyla, Eduard Tserne
Reduction of Spatially Correlated Speckle in Textured SAR Images. Int. J. Comput. 20 (3) (2021)
A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
Evaluation of the Effectiveness of Post-filtration Smoothing using Lossless Compression for Heart Rate Variability Obtained from a Very Noisy ECG. MECO (2020)
Fangfang Li, Sergey S. Krivenko, Vladimir V. Lukin
A Two-step Procedure for Image Lossy Compression by ADCTC With a Desired Quality. DESSERT (2020)
Fangfang Li, Sergey S. Krivenko, Vladimir Lukin
Adaptive two-step procedure of providing desired visual quality of compressed image. EITCE (2020)
Vladimir V. Lukin, Irina V. Vasilyeva, Sergey S. Krivenko, Fangfang Li, Sergey K. Abramov, Oleksii S. Rubel, Benoît Vozel, Kacem Chehdi, Karen O. Egiazarian
Lossy Compression of Multichannel Remote Sensing Images with Quality Control. Remote. Sens. 12 (22) (2020)
Alina S. Nechyporenko, Sergey S. Krivenko, Victoriia Alekseeva, Andrii Lupyr, Nadiia Yurevych, R. S. Nazaryan, V. V. Gargin
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses. MECO (2019)
A. A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
Determination of the Signal-to-Noise Ratio for Noisy Electrocardiogram Using Lossless Data Compression. MECO (2019)
Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
Diagnosing the signs of pathological states of a human based on the analysis of heart rate variability. MECO (2018)
Anatolii A. Pulavskyi, Sergey S. Krivenko, Liudmyla S. Kryvenko
Functional diagnostic using electrical impedance tomography reconstruction and the Internet of Things. MECO (2017)
Vladimir V. Lukin, Sergey K. Abramov, Sergey S. Krivenko, Andrey A. Kurekin, Oleksiy B. Pogrebnyak
Analysis of classification accuracy for pre-filtered multichannel remote sensing data. Expert Syst. Appl. 40 (16) (2013)
Sergey K. Abramov, Sergey S. Krivenko, Alexey A. Roenko, Vladimir V. Lukin, Igor Djurovic, Mikhail Chobanu
Prediction of filtering efficiency for DCT-based image denoising. MECO (2013)
Nikolay N. Ponomarenko, Sergey S. Krivenko, Vladimir V. Lukin, Karen O. Egiazarian, Jaakko Astola
Lossy Compression of Noisy Images Based on Visual Quality: A Comprehensive Study. EURASIP J. Adv. Signal Process. 2010 (2010)
Vladimir V. Lukin, Nikolay N. Ponomarenko, Sergey S. Krivenko, Karen O. Egiazarian, Jaakko Astola
Image filter effectiveness characterization based on HVS. Computational Imaging (2008)