Plenary Lecture

Color Space Transform for Correlated Images, Based on the Recursive Adaptive KLT

Professor Roumen Kountchev
Faculty of Telecommunications
Department of Radio Communications and Video Technologies
Technical University of Sofia

Abstract: In this work is presented a method for RGB color space transform for a group of correlated images, based on the recursive calculation of the algorithm Adaptive Color KLT (AC-KLT), developed earlier by the authors. However, the use of the algorithm AC-KLT for a group of color images is not sufficiently efficient, because each image should be processed individually. Depending on the image kind (for example, video- or multi-view sequences, medical image sequences, etc.) the pixels of same spatial position can have very high similarity, which in some cases is more than 90%. In such case, there is a high possibility to reduce significantly the information redundancy of the color information for the processed group of images. For this, here is offered the method Recursive AC-KLT, whose basic idea is the AC-KLT to be calculated for the first image in the group only, and for all other images to calculate the values of the difference parameters, needed to restore the color information of the image. The efficiency of the presented approach depends on the mutual correlation between images in the group. The algorithm efficiency is evaluated, and the obtained results confirm its advantage over the basic AC-KLT algorithm. The new method could be used for processing groups of correlated images in the systems for compression and processing of visual information, computer vision, pattern recognition, digital watermarking, etc.

Brief Biography of the Speaker: Roumen Kountchev, Ph.D., D. Sc. is a professor at the Faculty of Telecommunications, Department of Radio Communications and Video Technologies at the Technical University of Sofia, Bulgaria. His scientific areas of interest are: digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 341 papers published in magazines and conference proceedings (71 international); 15 books; 46 book chapters; 20 patents (3 international). He had been principle investigator of 38 research projects (6 international). At present he is a member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (member of Intern. Association for Pattern Recognition). Editorial board member of: Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health, and Intern. Journal Intelligent Decision Technologies. He has been a plenary speaker at: WSEAS Intern. Conf. on Signal Processing 2009, Istanbul; WSEAS Intern. Conf. on Signal Processing, Robotics and Automation, University of Cambridge 2010, UK; WSEAS Intern. Conf. on Signal Processing, Computational Geometry and Artificial Vision 2012, Istanbul, Turkey; Intern. Workshop on Bioinformatics, Medical Informatics and e-Health 2013, Ain Shams University, Cairo, Egypt; Workshop SCCIBOV 2015, Djillali Liabès University, Sidi Bel Abbès, Algérie; Intern. Conf. on Information Technology 2015 and 2017, Al Zayatoonah University, Amman, Jordan; WSEAS European Conf. of Computer Science 2016, Rome, Italy.

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