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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/s10107-003-0463-x

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1573-7721

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Image denoising using 2D FIR filters designed wit

Authors: Jingyu Hua Wangkun Kuang Zheng Gao Limin Meng Zhijiang Xu
Publish Date: 2012/11/08
Volume: 69, Issue: 1, Pages: 157-169
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Abstract

Digital images are often corrupted by additive noises during transmission Thus how to alleviate noise as much as possible has received concerns for decades In this paper we present a simple denoising method based on two dimensional 2D finite impulse response FIR filtering where by differential evolution particle swarm optimization DEPSO algorithm five two dimensional finite impulse response filters are designed to filter different kinds of pixels Comprised by differential evolution algorithm and particle swarm optimization algorithm differential evolution particle swarm optimization algorithm is effective and robust which helps to yield better denoise performance And computer simulation demonstrates that the proposed method is superior to the conventional lowpass filtering method as well as the modern bilateral filtering and stochastic denoising methodThis work was supported by the key project of Chinese ministry of education under grant No210087 Zhejiang provincial science technology project No2012R100116 and in part by the open research fund of national mobile communications research laboratory Southeast University No2010D06

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