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By using a mean filter, the derivative curve is smoothed.
A modified non-local mean filter with much less complexity is also present.
The method of pre-processing of image is mean filter firstly.
When the Mean Filter is applied, the sensitivity parameter value is α = 0.125.
The watermarked fingerprint images are blurred using mean filter with different sizes.
A 3 × 3 mean filter reduces noise in the input image.
The mean filter reduces more noise than the adaptive Wiener but also blurs the image edges, whereas the adaptive Wiener filter can preserve edge sharpness but reduces less noise than the mean filter.
This paper proposes a new weighted mean filter with a two-phase noise detector for image denoising.
Mean filter life was 22.8 hours (SD 14.2) in CVVH-heparin mode and 33.5 (SD 22.2) in CVVHD-citrate mode.
Noisy pixels are detected based on iterative measuring the image entropy and restored using an Adaptive Iterative Mean filter (AIM).
For the behaviour subtraction implementation, we use the output of the running mean filter to determine the initial background.
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