Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017198248> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2017198248 abstract "A novel adaptive spatial and transform based approach by fusing Bilateral Filter (BF), Joint Bilateral Filter (JBF) and Wavelet Thresholding (WT) is proposed for image restoration. The Bilateral and Joint Bilateral filter can perform as an edge-preserving smoothing operator and have better behavior near the edges. In the first stage, the noisy image is passed through bilateral filter and some amount of noise is reduced but the image becomes blurred, hence wavelet thresholding is applied first with Bayes Shrinkage (BS) rule and then with Modified Bayes Shrinkage (MBS) rule in the second stage. In the third stage, the wavelet thresholding output is used as a reference image for the joint bilateral filter to preserve and enhance the edges effectively. The main aim is to achieve a cleaner version of the noisy image without blurring important features like edges, curves, and textures. The filter-performances are usually compared in terms of peak-signal-to-noise ratio (PSNR) and visual quality sense. Experimental results show that the proposed image denoising method is competitive when compared to other methods in suppressing various types of noise." @default.
- W2017198248 created "2016-06-24" @default.
- W2017198248 creator A5014462783 @default.
- W2017198248 creator A5064314449 @default.
- W2017198248 creator A5082718360 @default.
- W2017198248 date "2012-04-01" @default.
- W2017198248 modified "2023-09-25" @default.
- W2017198248 title "A new hybrid image restoration method based on fusion of spatial and transform domain methods" @default.
- W2017198248 cites W1491384836 @default.
- W2017198248 cites W1601760457 @default.
- W2017198248 cites W2006724675 @default.
- W2017198248 cites W2007203285 @default.
- W2017198248 cites W2022444414 @default.
- W2017198248 cites W2032769752 @default.
- W2017198248 cites W2099244020 @default.
- W2017198248 cites W2100115174 @default.
- W2017198248 cites W2100925004 @default.
- W2017198248 cites W2102773781 @default.
- W2017198248 cites W2104763670 @default.
- W2017198248 cites W2105672072 @default.
- W2017198248 cites W2113945798 @default.
- W2017198248 cites W2125527601 @default.
- W2017198248 cites W2146842127 @default.
- W2017198248 cites W2152047336 @default.
- W2017198248 cites W2153834080 @default.
- W2017198248 cites W2158940042 @default.
- W2017198248 cites W2160451035 @default.
- W2017198248 cites W2163612361 @default.
- W2017198248 cites W2168126647 @default.
- W2017198248 cites W2170885533 @default.
- W2017198248 cites W59771946 @default.
- W2017198248 doi "https://doi.org/10.1109/racss.2012.6212696" @default.
- W2017198248 hasPublicationYear "2012" @default.
- W2017198248 type Work @default.
- W2017198248 sameAs 2017198248 @default.
- W2017198248 citedByCount "2" @default.
- W2017198248 countsByYear W20171982482014 @default.
- W2017198248 countsByYear W20171982482019 @default.
- W2017198248 crossrefType "proceedings-article" @default.
- W2017198248 hasAuthorship W2017198248A5014462783 @default.
- W2017198248 hasAuthorship W2017198248A5064314449 @default.
- W2017198248 hasAuthorship W2017198248A5082718360 @default.
- W2017198248 hasConcept C106131492 @default.
- W2017198248 hasConcept C106430172 @default.
- W2017198248 hasConcept C115961682 @default.
- W2017198248 hasConcept C153180895 @default.
- W2017198248 hasConcept C154945302 @default.
- W2017198248 hasConcept C156140930 @default.
- W2017198248 hasConcept C163294075 @default.
- W2017198248 hasConcept C180940675 @default.
- W2017198248 hasConcept C18537770 @default.
- W2017198248 hasConcept C191178318 @default.
- W2017198248 hasConcept C196216189 @default.
- W2017198248 hasConcept C31972630 @default.
- W2017198248 hasConcept C33923547 @default.
- W2017198248 hasConcept C3770464 @default.
- W2017198248 hasConcept C41008148 @default.
- W2017198248 hasConcept C47432892 @default.
- W2017198248 hasConcept C9417928 @default.
- W2017198248 hasConcept C99498987 @default.
- W2017198248 hasConceptScore W2017198248C106131492 @default.
- W2017198248 hasConceptScore W2017198248C106430172 @default.
- W2017198248 hasConceptScore W2017198248C115961682 @default.
- W2017198248 hasConceptScore W2017198248C153180895 @default.
- W2017198248 hasConceptScore W2017198248C154945302 @default.
- W2017198248 hasConceptScore W2017198248C156140930 @default.
- W2017198248 hasConceptScore W2017198248C163294075 @default.
- W2017198248 hasConceptScore W2017198248C180940675 @default.
- W2017198248 hasConceptScore W2017198248C18537770 @default.
- W2017198248 hasConceptScore W2017198248C191178318 @default.
- W2017198248 hasConceptScore W2017198248C196216189 @default.
- W2017198248 hasConceptScore W2017198248C31972630 @default.
- W2017198248 hasConceptScore W2017198248C33923547 @default.
- W2017198248 hasConceptScore W2017198248C3770464 @default.
- W2017198248 hasConceptScore W2017198248C41008148 @default.
- W2017198248 hasConceptScore W2017198248C47432892 @default.
- W2017198248 hasConceptScore W2017198248C9417928 @default.
- W2017198248 hasConceptScore W2017198248C99498987 @default.
- W2017198248 hasLocation W20171982481 @default.
- W2017198248 hasOpenAccess W2017198248 @default.
- W2017198248 hasPrimaryLocation W20171982481 @default.
- W2017198248 hasRelatedWork W1557900431 @default.
- W2017198248 hasRelatedWork W1559763430 @default.
- W2017198248 hasRelatedWork W2083209224 @default.
- W2017198248 hasRelatedWork W2088470564 @default.
- W2017198248 hasRelatedWork W2120364003 @default.
- W2017198248 hasRelatedWork W2162516678 @default.
- W2017198248 hasRelatedWork W2369366179 @default.
- W2017198248 hasRelatedWork W2593330587 @default.
- W2017198248 hasRelatedWork W2606413363 @default.
- W2017198248 hasRelatedWork W3133726735 @default.
- W2017198248 isParatext "false" @default.
- W2017198248 isRetracted "false" @default.
- W2017198248 magId "2017198248" @default.
- W2017198248 workType "article" @default.