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WAVELET AND FOURIER DECOMPOSITION BASED PERIODIC NOISE REMOVAL IN MICROSCOPY IMAGES

M.G. Ionita

M.G. Ionita

Electrical Engineering Electronics and Information Technology, Institute of Multidisciplinary Research for Science and Technology Valahia University of TargovisteTargoviste, Romania
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Ionita, M.G.
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H.G. Coanda

H.G. Coanda

Electrical Engineering Electronics and Information Technology, Valahia University of Targoviste,Targoviste, Romania
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Coanda, H.G.
  
May 11, 2018
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Published Online: May 11, 2018
Page range: 68 - 71
DOI: https://doi.org/10.1515/sbeef-2017-0025
Keywords
© 2018
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The microscopy images can be affected by periodic noise, resulting in quality degradation and the appearance of repetitive patterns on the micrograph. In order to effectively remove the periodic noise, a new adaptive method is proposed in this paper. The presented approach analyzes the frequency domain of the first order Haar Wavelet transform, determines the frequency regions that correspond to noise and corrects the magnitude spectrum components of the undecomposed DFT transform of the image. Experimental results are provided.

Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Engineering, Electrical Engineering, Fundamentals of Electrical Engineering, Bioengineering and Biomedical Engineering, Biomedical Electronics
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