Iterative average filtering for image denoising

Adam Konieczka; Julian Balcerek; Adam Dąbrowski

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Title

Iterative average filtering for image denoising

Authors

Adam Konieczka (WI) ^{[ 1 ][ P ]}
Julian Balcerek (WI) ^{[ 1 ][ P ]}
Adam Dąbrowski (WI) ^{[ 1 ][ P ]}

^{[ 1 ]} Katedra Sterowania i Inżynierii Systemów, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2013

Chapter type

paper

Publication language

english

Keywords

EN

impulse noise
image denoising
image quality enhancement
image processing
PSNR

Abstract

EN A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors' approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).

Pages (from - to)

302 - 305

URL

https://ieeexplore.ieee.org/document/6710644

Book

SPA 2013 Signal Processing: Algorithms, Architectures, Arrangements, and Applications, Poznań, 26-28 September, 2013 : Conference Proceedings

Presented on

SPA 2013 Signal Processing - Algorithms, Architectures, Arrangements, and Applications, 26-28.09.2013, Poznan, Poland

Publication indexed in

WoS (15)

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