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Removal of mixed noise by adaptive linear combination of weighted order statistics (LWOS) filters based on local statistics | IEEE Conference Publication | IEEE Xplore

Removal of mixed noise by adaptive linear combination of weighted order statistics (LWOS) filters based on local statistics


Abstract:

It is well known that median filters are very useful for image restoration. The success of median filters is based on two properties: edge preservation and efficient impu...Show More

Abstract:

It is well known that median filters are very useful for image restoration. The success of median filters is based on two properties: edge preservation and efficient impulsive noise attenuation. However, the median filter is not a perfect filtering operation. It may remove important image details and not sufficiently attenuate non-impulsive noise. The main reason is that the median filter uses only rank-order information of the input data within the filter window, and discards its original temporal-order information. In order to utilize both rank- and temporal-order information of input data, several classes of rank order based filters have been developed in recent years, such as Ll filters[l], weighted median filters[2], FIR-WOS(weighted order statistics) hybrid(FWH) filters [3]. J. Song and Y. H. Lee have also proposed a filter whose structure provide a unified framework for representing both linear FIR and median-type nonlinear filters called linear combination of weighted order statistics (LWOS) filters[4]. The LWOS filter is combination of L-filters and WOS filters.
Date of Conference: 08-11 September 1998
Date Added to IEEE Xplore: 23 April 2015
Print ISBN:978-960-7620-06-4
Conference Location: Rhodes, Greece
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