E-LIB Suche - Ergebnisse für: Vladimir V. Lukin

1

Improvement of Spatial Localization Accuracy in Learning-Ba..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Uss, Mykhail. M. ; Vozel, Benoit ; Lukin, Vladimir V.. - p. 3311-3314 , 2022

2

Spatial Complexity Reduction in Remote Sensing Image Compre..:

Makarichev, Viktor O. ; Lukin, Vladimir V. ; Brysina, Iryna V..
IEEE Geoscience and Remote Sensing Letters. 19 (2022) - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

3

Lossy Compression of Three-Channel Remote Sensing Images wi..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Makarichev, Victor ; Proskura, Galina ; Rubel, Oleksii... - p. 2215-2218 , 2022

Link: https://doi.org/10.1109/..

4

Combined Full-Reference Image Quality Metrics for Objective..:

Okarma, Krzysztof ; Lech, Piotr ; Lukin, Vladimir V.
Electronics. 10 (2021) 18 - p. 2256 , 2021

Link: https://doi.org/10.3390/..

5

Scalable, Micro-Neutralization Assay for Assessment of SARS..:

Bennett, Richard S. ; Postnikova, Elena N. ; Liang, Janie...
Viruses. 13 (2021) 5 - p. 893 , 2021

Link: https://doi.org/10.3390/..

6

Accuracy of Model-based and Learning-based Approaches for I..:

, In: 2020 IEEE Ukrainian Microwave Week (UkrMW),

Uss, Mykhail L. ; Lukin, Vladimir V. ; Vozel, Benoit. - p. 438-442 , 2020

Link: https://doi.org/10.1109/..

7

Estimating DOA and PPS parameters of signal received by ULA..:

Djurović, Igor ; Simeunović, Marko ; Lukin, Vladimir V.
Journal of Electrical Engineering. 71 (2020) 3 - p. 175-184 , 2020

Link: https://doi.org/10.2478/..

8

Prediction of Compression Ratio for DCT-Based Coders With A..:

Zemliachenko, Alexander N. ; Kozhemiakin, Ruslan A. ; Abramov, Sergey K....
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11 (2018) 1 - p. 257-270 , 2018

Link: https://doi.org/10.1109/..

9

Prediction of Despeckling Efficiency of DCT-Based Filters A..:

, In: 2015 International Conference on Distributed Computing in Sensor Systems,

Rubel, Oleksii S. ; Lukin, Vladimir V. ; De Medeiros, Fatima S. - p. 159-168 , 2015

Link: https://doi.org/10.1109/..

10

Quasi maximum likelihood estimator of polynomial phase sign..:

Djurović, Igor ; Lukin, Vladimir V. ; Simeunović, Marko.
AEU - International Journal of Electronics and Communications. 68 (2014) 7 - p. 631-636 , 2014

Link: https://doi.org/10.1016/..

11

On required accuracy of mixed noise parameter estimation fo..:

Abramova, Victoriya V ; Abramov, Sergey K ; Lukin, Vladimir V..
EURASIP Journal on Image and Video Processing. 2014 (2014) 1 - p. , 2014

Link: https://doi.org/10.1186/..

12

Adaptive visually lossless JPEG-based color image compressi..:

Ponomarenko, Nikolay N. ; Lukin, Vladimir V. ; Egiazarian, Karen O..
Signal, Image and Video Processing. 7 (2013) 3 - p. 437-452 , 2013

Link: https://doi.org/10.1007/..

13

Efficiency analysis of color image filtering:

Fevralev, Dmitriy V ; Ponomarenko, Nikolay N ; Lukin, Vladimir V...
EURASIP Journal on Advances in Signal Processing. 2011 (2011) 1 - p. , 2011

Link: https://doi.org/10.1186/..

14

Local Signal-Dependent Noise Variance Estimation From Hyper..:

Uss, Mikhail L. ; Vozel, Benoît ; Lukin, Vladimir V..
IEEE Journal of Selected Topics in Signal Processing. 5 (2011) 3 - p. 469-486 , 2011

Link: https://doi.org/10.1109/..

15

An Overview of the Adaptive Robust DFT:

Roenko, Alexey A. ; Lukin, Vladimir V. ; Djurović, Igor
EURASIP Journal on Advances in Signal Processing. 2010 (2010) 1 - p. , 2010

Link: https://doi.org/10.1155/..