FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014370094> ?p ?o ?g. }

• W2014370094 endingPage "832" @default.
• W2014370094 startingPage "817" @default.
• W2014370094 abstract "In this paper, we present a hybrid, image restoration approach. The proposed approach combines the geostatistical interpolation of punctual kriging, artificial neural networks (ANNs), and fuzzy logic based approaches. Images degraded with Gaussian white noise are restored by first utilizing fuzzy logic for selecting pixels that needs kriging. Three fuzzy systems are employed. Both type-I and type-II fuzzy sets in addition with neuro fuzzy classifier (NFC) have been used for the detection of noisy pixels. To avoid edge pixels, a post processing technique is used to check the edge pixel connectivity up to lag 5. If the pixel under consideration is an edge pixel, it is excluded from the fuzzy map and thus not estimated. The concept of punctual kriging is then used to estimate the intensity of a noisy pixel. ANN is employed to minimize the cost function of the kriging based pixel intensity estimation procedure. ANN, in contrast to analytical methodologies, avoids both matrix inversion failure and negative weights problems. Image restoration performance based comparison has been made against adaptive Weiner filter and existing fuzzy kriging approaches. Experimental results using 450 images are used to validate the effectiveness of the proposed approach. Different image quality measures are used to compare the efficacy of the proposed NFC and fuzzy type-II approaches for detecting noisy pixels in conjunction with ANN and kriging based estimation." @default.
• W2014370094 created "2016-06-24" @default.
• W2014370094 creator A5009854385 @default.
• W2014370094 creator A5025522430 @default.
• W2014370094 creator A5036153105 @default.
• W2014370094 creator A5062071958 @default.
• W2014370094 creator A5082020424 @default.
• W2014370094 creator A5083112369 @default.
• W2014370094 date "2013-02-01" @default.
• W2014370094 modified "2023-10-18" @default.
• W2014370094 title "Neuro fuzzy and punctual kriging based filter for image restoration" @default.
• W2014370094 cites W1964582933 @default.
• W2014370094 cites W1965558264 @default.
• W2014370094 cites W1981770353 @default.
• W2014370094 cites W1984487106 @default.
• W2014370094 cites W1993522696 @default.
• W2014370094 cites W1996177050 @default.
• W2014370094 cites W2000266578 @default.
• W2014370094 cites W2012071815 @default.
• W2014370094 cites W2020914797 @default.
• W2014370094 cites W2022515674 @default.
• W2014370094 cites W2027515265 @default.
• W2014370094 cites W2028197261 @default.
• W2014370094 cites W2045354372 @default.
• W2014370094 cites W2051456104 @default.
• W2014370094 cites W2054855363 @default.
• W2014370094 cites W2054897043 @default.
• W2014370094 cites W2056717940 @default.
• W2014370094 cites W2070989756 @default.
• W2014370094 cites W2075470198 @default.
• W2014370094 cites W2085692415 @default.
• W2014370094 cites W2093541103 @default.
• W2014370094 cites W2106078575 @default.
• W2014370094 cites W2113945798 @default.
• W2014370094 cites W2122249192 @default.
• W2014370094 cites W2132680427 @default.
• W2014370094 cites W2133665775 @default.
• W2014370094 cites W2146997145 @default.
• W2014370094 cites W2159736423 @default.
• W2014370094 cites W2160121923 @default.
• W2014370094 cites W2163612361 @default.
• W2014370094 cites W4239425529 @default.
• W2014370094 cites W4245152641 @default.
• W2014370094 cites W2022952178 @default.
• W2014370094 doi "https://doi.org/10.1016/j.asoc.2012.10.017" @default.
• W2014370094 hasPublicationYear "2013" @default.
• W2014370094 type Work @default.
• W2014370094 sameAs 2014370094 @default.
• W2014370094 citedByCount "10" @default.
• W2014370094 countsByYear W20143700942015 @default.
• W2014370094 countsByYear W20143700942016 @default.
• W2014370094 countsByYear W20143700942017 @default.
• W2014370094 countsByYear W20143700942018 @default.
• W2014370094 countsByYear W20143700942019 @default.
• W2014370094 countsByYear W20143700942021 @default.
• W2014370094 crossrefType "journal-article" @default.
• W2014370094 hasAuthorship W2014370094A5009854385 @default.
• W2014370094 hasAuthorship W2014370094A5025522430 @default.
• W2014370094 hasAuthorship W2014370094A5036153105 @default.
• W2014370094 hasAuthorship W2014370094A5062071958 @default.
• W2014370094 hasAuthorship W2014370094A5082020424 @default.
• W2014370094 hasAuthorship W2014370094A5083112369 @default.
• W2014370094 hasConcept C106131492 @default.
• W2014370094 hasConcept C106430172 @default.
• W2014370094 hasConcept C115961682 @default.
• W2014370094 hasConcept C119857082 @default.
• W2014370094 hasConcept C154945302 @default.
• W2014370094 hasConcept C31972630 @default.
• W2014370094 hasConcept C41008148 @default.
• W2014370094 hasConcept C58166 @default.
• W2014370094 hasConcept C81692654 @default.
• W2014370094 hasConcept C9417928 @default.
• W2014370094 hasConceptScore W2014370094C106131492 @default.
• W2014370094 hasConceptScore W2014370094C106430172 @default.
• W2014370094 hasConceptScore W2014370094C115961682 @default.
• W2014370094 hasConceptScore W2014370094C119857082 @default.
• W2014370094 hasConceptScore W2014370094C154945302 @default.
• W2014370094 hasConceptScore W2014370094C31972630 @default.
• W2014370094 hasConceptScore W2014370094C41008148 @default.
• W2014370094 hasConceptScore W2014370094C58166 @default.
• W2014370094 hasConceptScore W2014370094C81692654 @default.
• W2014370094 hasConceptScore W2014370094C9417928 @default.
• W2014370094 hasIssue "2" @default.
• W2014370094 hasLocation W20143700941 @default.
• W2014370094 hasOpenAccess W2014370094 @default.
• W2014370094 hasPrimaryLocation W20143700941 @default.
• W2014370094 hasRelatedWork W126085655 @default.
• W2014370094 hasRelatedWork W1533292911 @default.
• W2014370094 hasRelatedWork W1598401975 @default.
• W2014370094 hasRelatedWork W2076843379 @default.
• W2014370094 hasRelatedWork W2130228941 @default.
• W2014370094 hasRelatedWork W2132132164 @default.
• W2014370094 hasRelatedWork W2940142652 @default.
• W2014370094 hasRelatedWork W3044651058 @default.
• W2014370094 hasRelatedWork W3123424645 @default.
• W2014370094 hasRelatedWork W3152929143 @default.
• W2014370094 hasVolume "13" @default.
• W2014370094 isParatext "false" @default.

• next