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Trilateral filter using rank order information of pixel value for mixed Gaussian and impulsive noise removal | IEEE Conference Publication | IEEE Xplore

Trilateral filter using rank order information of pixel value for mixed Gaussian and impulsive noise removal


Abstract:

The bilateral filter can remove Gaussian noise while preserving edges of the objects in an image. However the bilateral filter can not remove impulsive noise due to its e...Show More

Abstract:

The bilateral filter can remove Gaussian noise while preserving edges of the objects in an image. However the bilateral filter can not remove impulsive noise due to its edge preservation property. Therefore some robust bilateral filters have been proposed in order to also deal with impulsive noise. To make the bilateral filter more robust, this paper proposes a trilateral filter which incorporates a third weighting function based on the rank order information of pixel values into the bilateral filter. The effectiveness of the proposed method is verified in comparison with other conventional methods in experiments using the natural digital images corrupted by mixed Gaussian and impulsive noise.
Date of Conference: 12-15 November 2013
Date Added to IEEE Xplore: 09 January 2014
ISBN Information:
Conference Location: Naha, Japan

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