M. Uss

发表

Enhancement of Component Images of Multispectral Data by Denoising with Reference

K. Egiazarian, V. Lukin, B. Vozel, 2019 .

1 Enhancement of component images of multispectral 2 data by denoising with reference 3

K. Egiazarian, V. Lukin, B. Vozel, 2019 .

Chapter 2 Automatic Adaptive Lossy Compression of Multichannel Remote Sensing Images

N. Ponomarenko, V. Lukin, B. Vozel, 2018 .

Potential MSE of color image local filtering in component-wise and vector cases

V. Lukin, B. Vozel, K. Chehdi, 2011, 2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM).

Non-parametric detection scheme for isotropic image texture with normal increments

V. Lukin, B. Vozel, K. Chehdi, 2010, 2010 International Conference on Mathematical Methods in Electromagnetic Theory.

The minimum number of scanning windows required for effective maximum likelihood estimation of image texture parameters and additive noise variance

V. Lukin, B. Vozel, K. Chehdi, 2010, 2010 INTERNATIONAL KHARKOV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES.

Blind estimation of signal-dependent noise parameters for color image database

V. Lukin, B. Vozel, K. Chehdi, 2013, European Workshop on Visual Information Processing (EUVIP).

Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model

Vladimir V. Lukin, Kacem Chehdi, Benoit Vozel, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Statistical power of intensity- and feature-based similarity measures for registration of multimodal remote sensing images

Kacem Chehdi, Benoit Vozel, V. Lukin, 2016, Remote Sensing.

Hyperspectral Image Restoration Based on Salient Edges

Vladimir V. Lukin, Kacem Chehdi, Sergey K. Abramov, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images

Vladimir V. Lukin, Kacem Chehdi, Benoit Vozel, 2011, IEEE Journal of Selected Topics in Signal Processing.

Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases

Kacem Chehdi, Sergey K. Abramov, Benoit Vozel, 2021, IEEE Trans. Geosci. Remote. Sens..

A Precise Lower Bound on Image Subpixel Registration Accuracy

Kacem Chehdi, Benoit Vozel, Mikhail L. Uss, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters

Vladimir V. Lukin, Kacem Chehdi, Sergey K. Abramov, 2011, EURASIP J. Adv. Signal Process..

Methods and automatic procedures for processing images based on blind evaluation of noise type and characteristics

Nikolay N. Ponomarenko, Vladimir V. Lukin, Mikhail Zriakhov, 2011 .

Lossy compression of hyperspectral images based on noise parameters estimation and variance stabilizing transform

Nikolay N. Ponomarenko, Vladimir V. Lukin, Kacem Chehdi, 2014 .

Blind noise parameters estimation for multichannel images using deep convolutional neural networks

Vladimir V. Lukin, Kacem Chehdi, Benoit Vozel, 2019, Remote Sensing.

Automatic Adaptive Lossy Compression of Multichannel Remote Sensing Images

Vladimir V. Lukin, Kacem Chehdi, Victoriya Abramova, 2016 .

Multimodal Remote Sensing Image Registration With Accuracy Estimation at Local and Global Scales

Vladimir V. Lukin, Kacem Chehdi, Benoit Vozel, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Analysis of signal-dependent sensor noise on JPEG 2000-compressed Sentinel-2 multi-spectral images

B. Vozel, K. Chehdi, M. Uss, 2017, Remote Sensing.

Efficiency of texture image enhancement by DCT-based filtering

Oleksiy B. Pogrebnyak, Vladimir V. Lukin, Karen O. Egiazarian, 2016, Neurocomputing.

DCT-Based Color Image Denoising: Efficiency Analysis and Prediction

Nikolay N. Ponomarenko, Vladimir V. Lukin, Jaakko Astola, 2015 .

Application of filtering efficiency prediction to hyperspectral data pre(cid:26)processing

B. Vozel, K. Chehdi, S. Abramov, 2015 .

On noise properties in hyperspectral images

Vladimir V. Lukin, Kacem Chehdi, Sergey K. Abramov, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Mobile Deployment of NoiseNet: Noise Characteristics Assessment in Real-World Images

Mikhail Zriakhov, Victoriya Abramova, Rostyslav Tsekhmystro, 2019, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON).