X - International Journal of Information Science and Computer Mathematics (Closed Ed TRF)
Volume 3, Issue 2, Pages 119 - 133
(May 2011)
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OPTIMIZED PARAMETERS FOR ADAPTIVE NOISE LEVEL ESTIMATION
Al-Qadi A. A. Ziad
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Abstract:
A methodology of noise elimination in a gray image is tested and different parameters are investigated in order to estimate the noise level in a gray image.
The estimated mean noise is calculated for variant values of the parameters and it is shown that only the number of orientation to use can affect the mean noise value, also it is shown that images with power to 2 size can optimize the noise processing. |
| Keywords and phrases: filter scale, multiplying factor, number of orientation, angular ratio, ratio of standard deviation. |
| Communicated by Kewen Zhao |
| Number of Downloads: 56 | Number of Views: 172 |
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