2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2016-1-1-58-6459SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGEON THE METHOD OF OPTIMAL SUBBAND FILTRATIONON THE METHOD OF OPTIMAL SUBBAND FILTRATIONZhilyakovEvgeniy GeorgievichZhilyakovEvgeniy GeorgievichZhilyakov@bsu.edu.ruChernomoretsAndrey AlekseevichChernomoretsAndrey AlekseevichChernomorets@bsu.edu.ruBolgovaEvgeniya VitalievnaBolgovaEvgeniya VitalievnaBolgova_e@bsuedu.ruGoloschapovaVera AnatolievnaGoloschapovaVera Anatolievnavgoloschapova@bsu.edu.ru20161100

The paper presents the results of experimental studies of the effectiveness of the optimal subband method. This method allows to achieve the minimal level of energy leakage out of the subdomain of spatial frequencies selected for filtration. The experiments show that the energy of the input image, being out of the selected subdomain of spatial frequencies, affects in a greater degree the output sequence of frequency filters based on DFT than the results based on the optimal filtration method. This influence is evident both on the graphs of corresponding Fourier transforms, and on the images obtained as a result of filtering.

The paper presents the results of experimental studies of the effectiveness of the optimal subband method. This method allows to achieve the minimal level of energy leakage out of the subdomain of spatial frequencies selected for filtration. The experiments show that the energy of the input image, being out of the selected subdomain of spatial frequencies, affects in a greater degree the output sequence of frequency filters based on DFT than the results based on the optimal filtration method. This influence is evident both on the graphs of corresponding Fourier transforms, and on the images obtained as a result of filtering.

imageoptimal filtrationFurie transformsubdomain of spatial frequenciesimageoptimal filtrationFurie transformsubdomain of spatial frequenciesСписок литературы1. Zhilyakov E.G., Chernomorets A.A. Variation Analysis Algorithms and Image Processing Based on the Frequency Representations. Belgorod: BSU publishing house, 2008. 146 p.2. Zhilyakov E.G. Methods of Analysis and Construction of Functions from the Empirical data Based on Frequency Representations. Belgorod: BSU Publishing House, 2007. 160 p.3. Zhilyakov E.G., Chernomorets A.A. Optimal Filtering Images Based on Frequency Representations // Electronic Engineering. 2008. Part 1. Pp. 118-131.4. Gonzalez R., Woods R. Digital Image Processing. M.: Tekhnosfera, 2006. 1072 p.5. Zhilyakov E.G., Chernomorets A.A., Bolgova E.V. About Subband Filtering Images Based on the Use of Compensating Coefficients // Engineering and Technologies – 2014: collected works of the International Scientific and Technical Conference. 2014. Pp. 30-34.6. Chernomorets A.A., Lysenko I.V., Bolgova E.V. Computer Implementation of Algorithm of the Weighed Optimal Image Filtration. Electronic Engineering. 2012. Part 1. Pp. 103-111.