OPTIMIZATION OF COMPUTATIONAL BURDEN OF THE POINT INFORMATION GAIN

Authors

  • Jan Urban University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic
  • Renata Rychtáriková University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic
  • Petr Macháček University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic
  • Dalibor Štys University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic
  • Pavla Urbanová University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic
  • Petr Císař University of South Bohemia in Ceské Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Kompetenzzentrum MechanoBiologie in Regenerativer Medizin, Institute of Complex Systems, Zámek 136, 373 33 Nové Hrady, Czech Republic

DOI:

https://doi.org/10.14311/AP.2019.59.0593

Keywords:

Pixel information contribution, entropy, image analysis, computation optimization.

Abstract

We developed a method of image preprocessing based on the information entropy, namely, on the information contribution made by each individual pixel to the whole image or to image’s part (i.e., a Point Information Gain; PIG). An idea of the PIG calculation is that an image background remains informatively poor, whereas objects carry relevant information. In one calculation, this method preserves details, highlights edges, and decreases random noise. This paper describes optimization and implementation of the PIG calculation on graphical processing units (GPU) to overcome a high computational burden.

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Published

2019-12-31

How to Cite

Urban, J., Rychtáriková, R., Macháček, P., Štys, D., Urbanová, P., & Císař, P. (2019). OPTIMIZATION OF COMPUTATIONAL BURDEN OF THE POINT INFORMATION GAIN. Acta Polytechnica, 59(6), 593–600. https://doi.org/10.14311/AP.2019.59.0593

Issue

Vol. 59 No. 6 (2019)

Section

Articles