Computational Imaging Group

Is a part of The Computing Sciences Unit, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland. Founded in 1998. The group leader is Professor Karen Egiazarian.
The mission of Computational Imaging Group is a theoretical and applied research different from the traditional image processing with a special emphasis on applied mathematics, optics, human perception. Applications are in consumer electronics, mobile imaging, microscopy, and remote sensing.

Xing W., Egiazarian K.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 3507-3516

End-to-end learning for joint image demosaicing, denoising and super-resolution

Image denoising, demosaicing and super-resolution are key problems of image restoration well studied in the recent decades. Often, in practice, one has to solve these problems simultaneously. A problem of finding a joint solution of the multiple image restoration tasks just begun to attract an increased attention of researchers. In this paper, we propose an end-to-end solution for the joint demosaicing, denoising and super-resolution based on a specially designed deep convolutional neural network (CNN).

Rostami S.R.M., Pinilla S., Shevkunov I., Katkovnik V., & Egiazarian K.
Applied Optics, 60(30), 9365-9378. (2021)

Power-balanced hybrid optics boosted design for achromatic extended depth-of-field imaging via optimized mixed OTF

A power-balanced hybrid optical imaging system has a diffractive computational camera, introduced in this paper, with image formation by a refractive lens and multilevel phase mask (MPM).

Ponomarenko M., Bahnemiri S.G., Egiazarian K., Ieremeiev O., Lukin V., Peltoketo V.T. & Hakala J.
European Workshop on Visual Information Processing (EUVIP), pp. 1-6 (2021)

Color image database HTID for verification of no-reference metrics: peculiarities and preliminary results

The paper describes a new image database HTID for verification and training of no-reference image visual quality metrics.

Computational imaging group

Tampere university

Computational Imaging Group

Research Areas

Sparse image and video processing in transform domain

Coherent phase imaging and light field phase coding

Image visual quality assessment

Image and video lossy compression

JUST NOW WE WORK ON

Our experiences

Image and signal denoising

Image visual quality assessment

Lossy image compression

Blind noise parameter estimation

Our Projects

CIWiL

H2020-TWINN-2015 HOLO

SPARSE

SpaRTaN

MacSeNet

INTERFERO

FLEXISP

Phase imaging

Meet The Team

Karen Egiazarian

Vladimir Katkovnik

Mykola Ponomarenko

Igor Shevkunov

Samuel Pinilla

Peter Kocsis

Sheyda Ghanbaralizadeh Bahnemiri

Seyyed Reza Miri Rostami

Wenzhu Xing

Shushik Avagyan

Oleg Ieremeiev

Oleksii Rubel

Veronica Cazac

Our collaborators:

Vladimir Lukin

Sergey Abramov

Alexander Totsky

Nikolay Petrov

Elena Achimova

Vladimir Abaskin

Alexei Meshalkin

Our Skills

Our History

Faqs

I am a student of Tampere University. Is there a possibility for me to join your research team?

Is it possible to get PhD student position at the Computational Imaging Group?

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How we work? :)

IDEA

STUDY

PLAN

DESIGN

VERIFICATION

PUBLICATION

Selected Publications

Pages of selected publications

Fun Facts

Latest Publications

Our collaboration

Institute of Applied Physics of the Academy of Sciences of Moldova

National Aerospace University of Ukraine

University of Stuttgart

Noiseless imaging

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Contact Info

Computational
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