WAVELET AND FOURIER DECOMPOSITION BASED PERIODIC NOISE REMOVAL IN MICROSCOPY IMAGES-Reference-Cited by-同舟云学术

WAVELET AND FOURIER DECOMPOSITION BASED PERIODIC NOISE REMOVAL IN MICROSCOPY IMAGES

Published:2018-04-01 Issue:1 Volume:18 Page:68-71
ISSN:2286-2455
Container-title:The Scientific Bulletin of Electrical Engineering Faculty
language:en
Short-container-title:

Author:

Ionita M.G.¹,Coanda H.G.²

Affiliation:

1. Electrical Engineering Electronics and Information Technology, Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste , Romania

2. Electrical Engineering Electronics and Information Technology, Valahia University of Targoviste, Targoviste , Romania

Abstract

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.

Publisher

Walter de Gruyter GmbH

Reference16 articles.

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