3rd International Workshop on New Approaches for


Multidimensional Signal Processing


NAMSP 2022

Technical University of Sofia, Sofia, Bulgaria

July 07-09, 2022






Partnership


NAMSP 2022 is organized under the frame of the bilateral Indian-Bulgarian cooperation research project between Technical University of Sofia, Bulgaria and Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonepat, India with a duration of two years under the title "Contemporary Approaches for Processing and Analysis of Multidimensional Signals in Telecommunications", financed by the Department of Science and Technology (DST), India and the Ministry of Education and Science, Bulgaria.


The project is aimed to acquire new knowledge, to promote scientific exchange and to foster the development of close links and cooperation between scientific organizations. The main objectives are in two priority areas: information and communication technologies, and the technologies related to healthcare and life quality improvement. The project achievements will support the medical diagnostics, surveillance (forests protection or agriculture support), etc.

As it is known, every day has to be processed and saved huge amounts of signals, images, and image sequences got from various sensors, which are saved in large databases. To enhance the interpretation of the so obtained visual information contained in various multidimensional images (MDI), many approaches exist for their computer processing. High requirements exist about their compression, time needed for the processing, automatic segmentation, filtration, and classification of the investigated objects. The project objectives are related to investigation and dissemination of knowledge for new methods for representation, processing and analysis of various kinds of signals and MDI (video sequences, computed tomography images, nuclear magnetic resonance, multispectral, ultrasound, thermo vision, etc). All this requires to solve some basic tasks: 1) Multidimensional signals and image representation through new methods based on the hierarchical tensor decomposition developed by the team members. The main advantages are the lower computational complexity compared to famous similar methods and the ability for parallel processing. This will increase the analysis accuracy; 2) Signals and MDI processing based on new approach for adaptive 3D interpolation (also developed by a part of the team members), which has low computational complexity and ensures high quality of the interpolated areas (objects) in the 3D images. This approach permits high-quality enlargement of selected 3D objects in the MDI, which to be used for medical decision support; 3) MDI analysis based on new, intelligent methods for 3D objects segmentation.

The obatined results from investigated new methods will be described in papers presented at the workshop.