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authFullName_s : S.K. Abramov

Pre-Requisites for Smart Lossy Compression of Noisy Remote Sensing Images

M Alhihi, , A. N. Zemliachenko , S.K. Abramov , Benoit Vozel , Karen Egiazarian et al.
Telecommunications and Radio Engineering, 2018, 77 (3), pp.225-241. ⟨10.1615/telecomradeng.v77.i3.40⟩
Journal articles hal-02135673v1

On Requirements To Accuracy Of Noise Variance Estimation In Prediction Of Dct-Based Filter Efficiency

V.V. Abramova , S.K. Abramov , Oleksii S. Rubel , Benoit Vozel , Kacem Chehdi et al.
Telecommunications and Radio Engineering, 2016
Journal articles hal-02135797v1

An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

R.A. Kozhemiakin , A.N. Zemliachenko , V.V. Lukin , S.K. Abramov , B. Vozel et al.
Ukrainian Journal Of Remote Sensing, 2016
Journal articles hal-02135835v1

Application of filtering efficiency prediction to hyperspectral data pre-processing

V.V. Lukin , S. S. Krivenko , S.K. Abramov , M. Zriakhov , M.L Uss et al.
Ukrainian Journal Of Remote Sensing, 2015
Journal articles hal-02135855v1

Scatter-plot-based method for noise characteristics evaluation in remote sensing images using adaptive image clustering procedure

V.V. Abramova , S.K. Abramov , V.V. Lukin , B. Vozel , K. Chehdi et al.
Image and Signal Processing for Remote Sensing XXII, Sep 2016, Edinburgh, United Kingdom. ⟨10.1117/12.2240876⟩
Conference papers hal-01484533v1

Improved compression ratio prediction in DCT-based lossy compression of remote sensing images

A.N. Zemliachenko , S.K. Abramov , V.V. Lukin , B. Vozel , K. Chehdi et al.
36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Jul 2016, Beijing, China. pp.6966--6969, ⟨10.1109/IGARSS.2016.7730817⟩
Conference papers hal-01484549v1

Output MSE and PSNR prediction in DCT-based lossy compression of remote sensing images

R.A. Kozhemiakin , S.K. Abramov , V.V. Lukin , B. Vozel , K. Chehdi et al.
Image and Signal Processing for Remote Sensing XXIII 2017, Sep 2017, Warsaw, Poland. pp. 2278002, ⟨10.1117/12.2278002⟩
Conference papers hal-01713368v1

Denoising Efficiency For Multichannel Images Corrupted By Signal-Dependent Noise

V.V. Lukin , S.K. Abramov , R.A. Kozhemiakin , M.L. Uss , Benoît Vozel et al.
International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW), Jun 2013, Kharkov, Ukraine. http://www.ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622048&isnumber=6621984, ⟨10.1109/MSMW.2013.6622048⟩
Conference papers hal-01111108v1

Chapter 9: Blind Determination of Noise Type for Spaceborne and Airborne Remote Sensing

B. Vozel , S.K. Abramov , K. Chehdi , V.V. Lukin , M.L. Uss et al.
Christophe Collet, Jocelyn Chanussot, Kacem Chehdi. Multivariate image processing, ISTE Press, 2010, 9781848211391
Book sections hal-01127071v1

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