Abstract
Color filtering has been an important field of image processing ever since the digital detection of color information had been made available. Nowadays as the image sizes grow larger and larger, the filtering approaches also have to keep up the pace. Two methods are used typically for color filtering: Lookup table-based and rule-based color filters. The former ones are capable of real-time operation at the cost of significant memory requirements, while the latter ones tend to work slower but have a more compact data representation. In this paper, a novel color filtering method is presented that has a much more compact data representation than the former, while much faster than the latter approaches.
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Acknowledgements
This work has been sponsored by the Research & Development Operational Program for the project “Modernization and Improvement of Technical Infrastructure for Research and Development of J. Selye University in the Fields of Nanotechnology and Intelligent Space”, ITMS 26210120042, co-funded by the European Regional Development Fund.
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Tusor, B., Tóth, J.T., Várkonyi-Kóczy, A.R. (2020). An Indexed Rule-Based Fuzzy Color Filtering Method. In: Kovács, L., Haidegger, T., Szakál, A. (eds) Recent Advances in Intelligent Engineering. Topics in Intelligent Engineering and Informatics, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-030-14350-3_15
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DOI: https://doi.org/10.1007/978-3-030-14350-3_15
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