WAVELET AND FOURIER DECOMPOSITION BASED PERIODIC NOISE REMOVAL IN MICROSCOPY IMAGES
By: M.G. Ionita and H.G. Coanda
Abstract
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
Page range: 68 - 71
Published on: May 11, 2018
Published by: Valahia University of Targoviste
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2018 M.G. Ionita, H.G. Coanda, published by Valahia University of Targoviste
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.