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A modified non-local mean filter with much less complexity is also present.
This paper proposes a new weighted mean filter with a two-phase noise detector for image denoising.
The watermarked fingerprint images are blurred using mean filter with different sizes.
Spatially correlated noise has been obtained by filtering 2D AWGN by 3 × 3 mean filter with further setting a required noise variance.
In our case, a mean filter with a range of three pixels was applied (i.e., the averaged value of a 3 × 3 pixel square was taken as the new value of the central pixel in this square).
A mean filter with kernel size r × c can be viewed as a window of size r × c centered at an original datum, and replacing the datum (pixel) with the average of all pixels in the window.
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Figure 18 Robustness against Mean filtering with increasing filter size.
For data contaminated with noise, mean filters with the kernel size 1 × 3 and 1 × 5 were applied to smooth SRN10 and SRN4 data, respectively.
In summary, we estimate the noise standard deviation by Equation (7) for each subband and then the nonlocal means filter with the bandwidth in Equation (6) can be applied to the given subband.
We used the mean filter distributed with SOPRA to filter the C.elegans read set and kept reads with average quality at least 19 and no indeterminate colors.
In order to identify this peak subregion, SPECT images were convolved by a spherical mean filter kernel with a radius corresponding to the desired volume (in this case, about 6.2 mm to obtained a sphere of 1cc).
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Justyna Jupowicz-Kozak
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