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Projects / Programmes source: ARIS

Two dimensional image compression

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Research activity

Code Science Field Subfield
2.06.06  Engineering sciences and technologies  Systems and cybernetics  Related areas 

Code Science Field
T111  Technological sciences  Imaging, image processing 
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
Keywords
image compression, coding, adaptive systems, waveleth transformation, fuzzy logic
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publications
1.  03013  PhD Dali Đonlagić  Metrology  Head  1998 - 1999  592 
2.  07692  PhD Marjan Golob  Systems and cybernetics  Researcher  1998 - 1999  296 
3.  05730  PhD Jože Koprivnikar  Metrology  Researcher  1998 - 1999  131 
4.  12273  PhD Martina Leš  Systems and cybernetics  Researcher  1998 - 1999  43 
5.  11961  MSc Gorazd Lipnik  Metrology  Researcher  1998 - 1999  99 
6.  10675  PhD Nenad Muškinja  Systems and cybernetics  Researcher  1998 - 1999  402 
7.  04799  PhD Peter Planinšič  Systems and cybernetics  Researcher  1998 - 1999  329 
8.  08256  PhD Oto Težak  Systems and cybernetics  Researcher  1998 - 1999  183 
9.  11294  MSc Josip Vrbanec  Telecommunications  Researcher  1998 - 1999  54 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,550 
Abstract
In the research project new techniques for lossless stationary image compression based on the wavelet transform have been evaluated. The wavelet transform is accomplished using filter banks which could be optimised according to image statistics. During the process of compression an adaptive algorithm based on evaluation criteria is used to select the filters. Because current objectivity criteria based on mean square error does not give enough information about the visual impression of the image if large compression rates are used, a new criteria involving human subjective criteria is incorporated. Here fuzzy logic is used for human subjective criteria inclusion which represents an original contribution to the field of lossless image compression using wavelet transformation. The method is applicable for common images and also for synthetic images acquired during the visualisation process of measured data (SAR-Synthetic Aperture Radar images).
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