Comparison of LULU and Median Filter for Image Denoising

This paper presents a comparison between LULU and Median filters for impulse noise in images. Noise removal from images is always a challenging area of research. Different methods are being used for different image noises such as Wiener filter for Gaussian noise, Frost filter for speckle noise...

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Bibliographic Details
Main Authors: Rahmat, Roushanak, Malik , Aamir Saeed, Kamel , Nidal
Format: Conference or Workshop Item
Published: 2011
Subjects:
Online Access:http://eprints.utp.edu.my/4455/1/2011_ICSAP-Roushanak.pdf
http://eprints.utp.edu.my/4455/
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Institution: Universiti Teknologi Petronas
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Summary:This paper presents a comparison between LULU and Median filters for impulse noise in images. Noise removal from images is always a challenging area of research. Different methods are being used for different image noises such as Wiener filter for Gaussian noise, Frost filter for speckle noise and median filter for impulse noise. LULU filters are widely being used for impulse noise too. LULU filters are nonlinear rank selector operators which are computationally more competent and the performance of the operator is straightforward to describe. The comparison between Median and LULU filters, in this paper, is performed using two different image quality metrics which are RMSE and PSNR.