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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| Main Authors: | , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | http://eprints.utp.edu.my/4455/1/2011_ICSAP-Roushanak.pdf http://eprints.utp.edu.my/4455/ |
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| 機構: | Universiti Teknologi Petronas |
| 總結: | 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. |
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