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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
