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authFullName_s : O. Rubel
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Lossy compression of multichannel remote sensing images with quality control

V. Lukin , I. Vasilyeva , S. Krivenko , F. Li , S. Abramov et al.
Remote Sensing, 2020, 12 (22), pp.1-35. ⟨10.3390/rs12223840⟩
Journal articles hal-03040367v1

Is Texture Denoising Efficiency Predictable?

O. Rubel , V. Lukin , S. Abramov , B. Vozel , O. Pogrebnyak et al.
International Journal of Pattern Recognition and Artificial Intelligence, 2018, 32 (01), pp.1860005. ⟨10.1142/S0218001418600054⟩
Journal articles hal-01622383v1
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Perturbation approach to ab initio effective mass calculations

O. Rubel , F. Tran , Xavier Rocquefelte , P. Blaha
Computer Physics Communications, 2021, 261, pp.107648. ⟨10.1016/j.cpc.2020.107648⟩
Journal articles hal-03122772v1

Efficiency analysis for 3D filtering of multichannel images

R.A. Kozhemiakin , O. Rubel , S.K. Abramov , V.V. Lukin , B. Vozel et al.
Image and Signal Processing for Remote Sensing XXII, Sep 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2240865⟩
Conference papers hal-01484532v1

Efficiency of texture image filtering and its prediction

O. Rubel , V. Lukin , S. Abramov , B. Vozel , K. Egiazarian et al.
Signal, Image and Video Processing, 2016, 10 (8), pp.1543--1550. ⟨10.1007/s11760-016-0969-3⟩
Journal articles hal-01380634v1

Automation of Processing Multichannel Remote Sensing Images Based on Performance Prediction

V. Lukin , S. Abramov , M. Uss , O. Rubel , N. Kussul et al.
2020 IEEE Ukrainian Microwave Week, UkrMW 2020, Sep 2020, Kharkiv, Ukraine. pp.139-144, ⟨10.1109/UkrMW49653.2020.9252654⟩
Conference papers hal-03103348v1