Automated identification of type and evaluation of noise parameter with multifractal indices

Authors

  • Марина Вячеславовна Полякова Odesa national polytechnic university Boulevard of Shevchenko,1, Odesa, Ukraine, 65044, Ukraine
  • Юрий Владимирович Емец Odesa national polytechnic university Boulevard of Shevchenko,1, Odesa, Ukraine, 65044, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.14842

Keywords:

multifractal indices, authentication of type of noise, evaluation of parameter of noise, additive-fluctuation, impulsive and multiplicative noise

Abstract

The method of the automated authentication of type and evaluation of parameter of additive-fluctuation, impulsive and multiplicative noise is worked out and investigated, and also the mixed noise on images by means of multifractal indices. Descriptions of the worked out method are investigated on test images.

Method of determination of type and evaluation of parameter of noise are used in such areas of processing of images as medicine, astronomy, radio-location, non-destructive control, technical diagnostics and other areas.

 A method consists of  the next stages: choice of homogeneous area dark-and-light by a man-operator; calculation of multifractal indices as a vector of signs(Нx, Hy, Hxy, Сх, Су, Cxy);  determination of type of hindrance dark-and-light; evaluation of parameter of noise in the areas of multifractal indices and output of identifier of type and value of parameter of noise.

On the conducted results  of experiment an offered method on the basis of multifractal indexes is better  on 2,78 %, what  base a method with the use of neural network. Worked out method at the evaluation of parameter of impulsive noise by value multifractal index it is recommended to apply at values the amounts of failure pixels of impulsive noise of 5% and higher. The results of evaluation of parameter of multiplicative and gauss noise on a multifractal index showed the worked out method, that it is expedient to apply it for  the choice of parameter of rough-down of image

Author Biographies

Марина Вячеславовна Полякова, Odesa national polytechnic university Boulevard of Shevchenko,1, Odesa, Ukraine, 65044

Candidate of engineering sciences, associate professor

Department of the applied mathematics and information technologies in business 

Юрий Владимирович Емец, Odesa national polytechnic university Boulevard of Shevchenko,1, Odesa, Ukraine, 65044

Master's degree, graduate student

Department of the applied mathematics and information technologies in business

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Published

2013-06-18

How to Cite

Полякова, М. В., & Емец, Ю. В. (2013). Automated identification of type and evaluation of noise parameter with multifractal indices. Eastern-European Journal of Enterprise Technologies, 3(9(63), 13–17. https://doi.org/10.15587/1729-4061.2013.14842

Issue

Vol. 3 No. 9(63) (2013): INFORMATION AND CONTROLLING SYSTEM

Section

Information and controlling system

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Copyright (c) 2014 Марина Вячеславовна Полякова, Юрий Владимирович Емец

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