TUTORIAL SESSION

Image Fusion: A Survey, Recent Advances, and Applications

Prof. Jan Flusser
Institute of Information Theory and Automation, Czech Republic
flusser@utia.cas.cz

Abstract

In robot vision, scene understanding, and object recognition, most information is obtained
from digital images acquired by various sensors. Image fusion is a powerful tool how to combine
various sources together and hence how to prepare a good-quality input for classification
algorithms or for visual assessment. The tutorial reviews traditional as well as novel categories,
principles and methods of digital image fusion. Many practical applications, namely
from robotics, medical imaging and remote sensing, are presented. Life demo of restoration
methods running on a smartphone will conclude the tutorial.

Objectives

The major goals of the tutorial are
 To provide a comprehensive overview and reference source for researchers involved in image
analysis, regardless of particular application areas;
 To present recent development of the field, particularly in image and video fusion for
restoration purposes.

Target Audience

The target audience of the tutorial are researchers from all application areas who need
to integrate and fuse image data of various kind as well as the specialists in image analysis
interested in new development of this field. In our opinion, this tutorial fits into the AIA 2014
topics very well.

Qualifications of the Instructor(s)

Dr. Jan Flusser received the M.Sc. Degree in mathematical engineering from the Czech Technical University, Prague, Czech Republic in 1985 and the Ph.D. degree in computer science from the Czechoslovak Academy of Sciences in 1990. Since 1985 he has been with the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. Since 1995 he has been holding the position of a head of Department of Image Processing. Since 1991 he has been also affiliated with the Faculty of Mathematics and Physics, Charles University, Prague and with the Czech Technical University, Prague (full professorship in 2004), where he gives undergraduate and graduate courses on Digital Image Processing and Pattern Recognition. Jointly with B. Zitova he gives specialized graduate course on moment invariants and wavelets.
Jan Flusser has a 20-years experience in basic and applied research on the field of invariant-based pattern recognition. He has been involved in applications in remote sensing, medicine, and astronomy.
He has authored and coauthored more than 100 research publications in these areas. Some of his journal papers became classical and are frequently cited. Jan Flusser is a Senior Member of the IEEE.