Computational Imaging Group

Is a part of Signal Processing Laboratory, Faculty of Computing and Electrical Engineering, Tampere University of Technology, 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.

Research Areas

Our research area is digital image processing. Under this area our main research interests are:

Sparse image and video processing in transform domain

The sparsity concepts claims that fragments of natural image can be represented by a linear combination of small number of atoms (basis functions). It is a flexible instrument for various imaging problems such as denoising, deblurring, demosaicing, super-resolution, compressed sensing, and other inverse problems in imaging.

Coherent phase imaging and light field phase coding

Phase imaging is a unique instrument to study details of internal structure of transparent or semitransparent specimens. In modern technology and science phase and wavefield imaging are popular and well established technique for high-accuracy measuring, recording and reconstructing 2D and 3D objects. The areas of applications are varying from astronomy and engineering to medicine and biology.

Image visual quality assessment

Full-reference and no-reference image visual quality metrics, verification of quality metrics, human visual system, blind noise parameters estimation

Image and video lossy compression

DCT based compression, fractal based compression, partitions schemes in lossy compression, multichannel image compression, noisy image compression, automatic selection of compression parameters

JUST NOW WE WORK ON

Deep learning neural network based image denoising,
Image visual quality assessment,
Coherent phase imaging

Join our research!

Our experiences

We are interested in joint applications to scientific projects and grants
Results of our investigations were/are state-of-the-art in the following research areas

Image and signal denoising

BM3D filter last decade is state-of-the-art in image denoising

Image visual quality assessment

TID2013 is widely used to evaluate image visual quality metrics

Lossy image compression

ADCT coder several years was state-of-the-art in lossy image compression

Blind noise parameter estimation

Our methods provide best precision of estimation of noise variance and noise spectrum

Our Projects

Some of scientific projects and grants of our group

H2020-TWINN-2015 HOLO

Boosting the scientific excellence and innovation capacity in digital holographic microscopy

SPARSE

Sparse complex domain wave field imaging

SpaRTaN

Sparse Representations and Compressed Sensing Training Network

MacSeNet

Machine Sensing Training Network

INTERFERO

Advanced image processing for interferometric and noninterferometric phase and wave field reconstruction

Meet The Team

Current members of Computational Imaging Group

Karen Egiazarian

PhD, DTech

Professor at Tampere University of Technology


Vladimir Katkovnik

PhD, DTech

Professor, Senior Researcher at Tampere University of Technology


Mykola Ponomarenko

PhD, DTech

PostDoc at Tampere University of Technology, Professor at National Aerospace University, Ukraine

Igor Shevkunov

PhD

Senior Researcher at Tampere University of Technology


Cristóvão Cruz

PhD student

PhD student at Tampere University of Technology


Marina Pismenskova

PhD student

Exchange student at Tampere University of Technology

Nikolay Gapon

PhD student

Exchange student at Tampere University of Technology

Our collaborators:

Vladimir Lukin

PhD, DTech

Visiting Researcher at Tampere University of Technology, Professor at National Aerospace University, Ukraine

Sergey Abramov

PhD

Visiting Researcher at Tampere University of Technology, Associate Professor at National Aerospace University, Ukraine

Alexander Totsky

PhD, DTech

Visiting Researcher at Tampere University of Technology, Professor at National Aerospace University, Ukraine

Nikolay Petrov

PhD

Senior Researcher, Associate Professor, Head of the Digital and Display Holography Laboratory, Department of Photonics and Optical Information Technologies ITMO University, Russia

Elena Achimova

PhD

Head of the Recording Media and Photonics group of the Materials for Photovoltaic and Photonics Laboratory at the Institute of Applied Physics

Vladimir Abaskin

PhD

Leading researcher of the Recording Media and Photonics group of the Materials for Photovoltaic and Photonics Laboratory at the Institute of Applied Physics

Alexei Meshalkin

Researcher of the Recording Media and Photonics group of the Materials for Photovoltaic and Photonics Laboratory (IAP)


Veronica Cazac

Young researcher of the Recording Media and Photonics group of the Materials for Photovoltaic and Photonics Laboratory (IAP)


Our Skills

DIGITAL IMAGE PROCESSING
97%
MACHINE LEARNING
80%
DATA COMPRESSION
85%
SOFTWARE DESIGN
82%

Our History

Transforms and Spectral Techniques Group was established.

Part of SPAG (Signal Processing Algorithm Group) elected as an Academy of Finland Centre of Excellence for 2000-2005.

Part of SPAG (Signal Processing Algorithm Group) elected as an Academy of Finland Centre of Excellence for 2006-2011.

Changed name from "Transforms and Spectral Techniques" to "Computational Imaging".

The group joins Signal processing research community (SPRC) at Tampere University of Technology.

Faqs

Please contact to Professor Karen Egiazarian, room TF415 (or see his contact data in the section "Contacts" on the web page).
Ask one of co-authors of the publication (e.g. through Research Gate). Also you may check section "Publications" in this web page.

How we work? :)

Typical flow-chart of our investigations

1

IDEA

2

STUDY

3

PLAN

4

DESIGN

5

VERIFICATION

6

PUBLICATION

<

Selected Publications

A small repository (full texts, codes, web pages) of selected publications of Computational Imaging Group
If you need a full list of our publications press the button:    Full list on Google Scholar

Pages of selected publications

Sparse image and video processing in transform domain   Open in a new window
Coherent phase imaging and light field phase coding   Open in a new window
Image visual quality assessment   Open in a new window
Blind noise parameter estimation   Open in a new window
Image and video lossy compression   Open in a new window

Fun Facts

Some statistic data, based on Google Scholar

NUMBER OF PUBLICATIONS
OF OUR GROUP
NUMBER OF CITATIONS
FOR ALL PUBLICATIONS
NUMBER OF CITATIONS
FOR THE MOST CITED PUBLICATION
H-INDEX
OF OUR GROUP

Latest Publications

Some of the recent publications can be found bellow

Efficiency of texture image filtering and its prediction

Textures are typical elements of natural scene images widely used in pattern recognition and image classification. Noise, often being present in acquired images, deteriorates texture features (characteristics), and it is desirable both to suppress it and to preserve a texture. This task is quite difficult even for the most advanced filters, and the resulting denoising efficiency can be quite low. Due to this, it is desirable to predict a denoising efficiency before filtering to decide whether it is worth filtering a given image or not. In this paper, we analyze several quantitative criteria (metrics) that can characterize filtering efficiency. Prediction strategy is described and its accuracy is studied. Several modern filtering techniques are analyzed and compared. Based on this, practical recommendations are given.

Read More

JPEG compression with recursive group coding

A task of alternative (faster and more efficient in compression ratio sense) coding of discrete cosine transform (DCT) coefficients within JPEG based image compression approach is...

Read More

Our collaboration

Our collaboration includes, but is not limited to:

Institute of Applied Physics of the Academy of Sciences of Moldova

Coordinator of the HOLO project

National Aerospace University of Ukraine

Number of joint scientific investigations

University of Stuttgart

Participant of the HOLO project

Noiseless imaging

Number of joint projects

Get in Touch

Where we are and how to contact us

Contact Info

Tampere University of Technology
Laboratory of Signal Processing
P.O. Box 553
FI-33101 Tampere
Finland

Phone: +358 408415663
Professor Karen Egiazarian
Send Message