Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048508224> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3048508224 abstract "Denoising of digital images is one of the important pre-processing stages in image processing. In this paper, a new efficient back-propagation neural network-based impulse noise suppression technique is presented. The proposed technique works in two stages, i.e., impulse noise detection and noise filtering. In noise-detection stage, a feed-forward neural network is trained by back-propagation training algorithm to classify the noisy and non-noisy pixels in the test image. The input patterns for training are selected carefully to make the detector more robust for impulse detection. An adaptive median filtering is employed in the second stage for restoring the value of the noisy pixels identified in the first stage keeping the non-noisy ones unaltered. The restoration ability of the proposed method is evaluated using different standard images at different noise levels. It has been observed after several experiments on standard images that the performances of the proposed techniques are superior in terms of both visual quality and quantitative measurement." @default.
- W3048508224 created "2020-08-18" @default.
- W3048508224 creator A5009130051 @default.
- W3048508224 creator A5048325284 @default.
- W3048508224 date "2020-08-11" @default.
- W3048508224 modified "2023-09-24" @default.
- W3048508224 title "Neural Network-Based Random-Valued Impulsive Noise Suppression Scheme" @default.
- W3048508224 cites W2029711365 @default.
- W3048508224 cites W2093722317 @default.
- W3048508224 cites W2094903560 @default.
- W3048508224 cites W2112907544 @default.
- W3048508224 cites W2120006332 @default.
- W3048508224 cites W2124139674 @default.
- W3048508224 cites W2125832591 @default.
- W3048508224 cites W2140390647 @default.
- W3048508224 cites W2145056651 @default.
- W3048508224 cites W2154874354 @default.
- W3048508224 cites W2159269332 @default.
- W3048508224 cites W2159558889 @default.
- W3048508224 cites W2162276649 @default.
- W3048508224 cites W2165141499 @default.
- W3048508224 cites W2169733476 @default.
- W3048508224 doi "https://doi.org/10.1007/978-981-15-5400-1_72" @default.
- W3048508224 hasPublicationYear "2020" @default.
- W3048508224 type Work @default.
- W3048508224 sameAs 3048508224 @default.
- W3048508224 citedByCount "1" @default.
- W3048508224 countsByYear W30485082242022 @default.
- W3048508224 crossrefType "book-chapter" @default.
- W3048508224 hasAuthorship W3048508224A5009130051 @default.
- W3048508224 hasAuthorship W3048508224A5048325284 @default.
- W3048508224 hasConcept C115961682 @default.
- W3048508224 hasConcept C121332964 @default.
- W3048508224 hasConcept C127372701 @default.
- W3048508224 hasConcept C153180895 @default.
- W3048508224 hasConcept C154945302 @default.
- W3048508224 hasConcept C160633673 @default.
- W3048508224 hasConcept C163294075 @default.
- W3048508224 hasConcept C31972630 @default.
- W3048508224 hasConcept C41008148 @default.
- W3048508224 hasConcept C50644808 @default.
- W3048508224 hasConcept C55352655 @default.
- W3048508224 hasConcept C62520636 @default.
- W3048508224 hasConcept C70836080 @default.
- W3048508224 hasConcept C9417928 @default.
- W3048508224 hasConcept C99498987 @default.
- W3048508224 hasConceptScore W3048508224C115961682 @default.
- W3048508224 hasConceptScore W3048508224C121332964 @default.
- W3048508224 hasConceptScore W3048508224C127372701 @default.
- W3048508224 hasConceptScore W3048508224C153180895 @default.
- W3048508224 hasConceptScore W3048508224C154945302 @default.
- W3048508224 hasConceptScore W3048508224C160633673 @default.
- W3048508224 hasConceptScore W3048508224C163294075 @default.
- W3048508224 hasConceptScore W3048508224C31972630 @default.
- W3048508224 hasConceptScore W3048508224C41008148 @default.
- W3048508224 hasConceptScore W3048508224C50644808 @default.
- W3048508224 hasConceptScore W3048508224C55352655 @default.
- W3048508224 hasConceptScore W3048508224C62520636 @default.
- W3048508224 hasConceptScore W3048508224C70836080 @default.
- W3048508224 hasConceptScore W3048508224C9417928 @default.
- W3048508224 hasConceptScore W3048508224C99498987 @default.
- W3048508224 hasLocation W30485082241 @default.
- W3048508224 hasOpenAccess W3048508224 @default.
- W3048508224 hasPrimaryLocation W30485082241 @default.
- W3048508224 hasRelatedWork W1214702 @default.
- W3048508224 hasRelatedWork W12239746 @default.
- W3048508224 hasRelatedWork W12586413 @default.
- W3048508224 hasRelatedWork W13273322 @default.
- W3048508224 hasRelatedWork W14579021 @default.
- W3048508224 hasRelatedWork W4291971 @default.
- W3048508224 hasRelatedWork W5288377 @default.
- W3048508224 hasRelatedWork W6468916 @default.
- W3048508224 hasRelatedWork W6901147 @default.
- W3048508224 hasRelatedWork W8235949 @default.
- W3048508224 isParatext "false" @default.
- W3048508224 isRetracted "false" @default.
- W3048508224 magId "3048508224" @default.
- W3048508224 workType "book-chapter" @default.