An optimal performance investigation for bilateral filter under four different image types
An optimal performance investigation for bilateral filter under four different image types
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2015-11
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eng
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application/pdf
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8 pages
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The 11th International Conference on Signal Image Technology & Internet Based Systems (SITIS 2015), Bangkok, Thailand, Nov 2015, 34-41
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Abstract
The merit of bilateral filter is that it preserves the
edges of the image and smooth the image at the same time.
This can be done by controlling two important parameters
— spatial domain parameter and range domain parameter.
The contribution of this paper is two-fold. First, we
investigate the optimal parameters of the bilateral filter
under four different types of images — aerial, face, object
and texture. The simulation results show that the parameters
— spatial domain parameter and range parameter — should
be changed depending on the noise power and the details of
image. If the noise power is high, the parameters should be
set at high levels. These values should be decreased on the
increasing in an SNR. Second, we determine the appropriate
types of image that the bilateral filter can be applied to
perform filtering. Then, we compare bilateral filter’s
performance to Gaussian filter and switching bilateral filter.
The simulation results show that the bilateral filter gives the
best performance when perform de-nosing of aerial, face and
object image where the detail of these images are less than
texture image.