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Fourier Filtering Denoising Based on Genetic Algorithms

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Fourier Filtering Denoising Based on Genetic Algorithms


Jiahe Shi

https://doi.org/10.31142/ijtsrd2420



Jiahe Shi "Fourier Filtering Denoising Based on Genetic Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5, August 2017, pp.1142-1162, URL: https://www.ijtsrd.com/papers/ijtsrd2420.pdf

As the traditional filtering methods may cause the problem of blur when applied on stripe-lihike images, this paper raised a new method intending to solve the problem, and provided the process of the method development. The method, based on genetic algorithms as well as two-dimensional Fourier transform, offered a new perspective to denoise an image with abundant components of high frequency, and is of certain significance.

2-D Fourier transform, genetic algorithms, autocorrelations


IJTSRD2420
Volume-1 | Issue-5, August 2017
1142-1162
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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