Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327773080> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4327773080 abstract "Fog removal from a single foggy scene is a tedious piece of work. Some of the existing methodologies are based on various constraints and assumptions to evaluate fog free image or defog image. Recent researchers have applied deep neural network algorithms to calculate defog image. Motivated by the recent works, this paper aims to estimate fog free image entrenched on Convolutional Neural Network (CNN). Different haze relevant features are learned using deep architecture of CNN. Using these extracted features, final defog image has been estimated. Results are compared with the existing methodologies for analysis purpose as well." @default.
- W4327773080 created "2023-03-19" @default.
- W4327773080 creator A5011694915 @default.
- W4327773080 creator A5038485796 @default.
- W4327773080 creator A5091614022 @default.
- W4327773080 date "2022-12-09" @default.
- W4327773080 modified "2023-09-26" @default.
- W4327773080 title "Vision Enhancement of Single Foggy Image using CNN" @default.
- W4327773080 cites W2003709967 @default.
- W4327773080 cites W2256362396 @default.
- W4327773080 cites W2519481857 @default.
- W4327773080 cites W2779176852 @default.
- W4327773080 cites W2791961641 @default.
- W4327773080 cites W2798735168 @default.
- W4327773080 cites W2798876216 @default.
- W4327773080 cites W2802983979 @default.
- W4327773080 cites W2883789162 @default.
- W4327773080 cites W2890788573 @default.
- W4327773080 cites W2890886717 @default.
- W4327773080 cites W2963226402 @default.
- W4327773080 cites W2998022744 @default.
- W4327773080 cites W3155356607 @default.
- W4327773080 cites W3161316714 @default.
- W4327773080 doi "https://doi.org/10.1109/aist55798.2022.10064907" @default.
- W4327773080 hasPublicationYear "2022" @default.
- W4327773080 type Work @default.
- W4327773080 citedByCount "0" @default.
- W4327773080 crossrefType "proceedings-article" @default.
- W4327773080 hasAuthorship W4327773080A5011694915 @default.
- W4327773080 hasAuthorship W4327773080A5038485796 @default.
- W4327773080 hasAuthorship W4327773080A5091614022 @default.
- W4327773080 hasConcept C108583219 @default.
- W4327773080 hasConcept C115961682 @default.
- W4327773080 hasConcept C121332964 @default.
- W4327773080 hasConcept C153180895 @default.
- W4327773080 hasConcept C153294291 @default.
- W4327773080 hasConcept C154945302 @default.
- W4327773080 hasConcept C31972630 @default.
- W4327773080 hasConcept C41008148 @default.
- W4327773080 hasConcept C79974267 @default.
- W4327773080 hasConcept C81363708 @default.
- W4327773080 hasConceptScore W4327773080C108583219 @default.
- W4327773080 hasConceptScore W4327773080C115961682 @default.
- W4327773080 hasConceptScore W4327773080C121332964 @default.
- W4327773080 hasConceptScore W4327773080C153180895 @default.
- W4327773080 hasConceptScore W4327773080C153294291 @default.
- W4327773080 hasConceptScore W4327773080C154945302 @default.
- W4327773080 hasConceptScore W4327773080C31972630 @default.
- W4327773080 hasConceptScore W4327773080C41008148 @default.
- W4327773080 hasConceptScore W4327773080C79974267 @default.
- W4327773080 hasConceptScore W4327773080C81363708 @default.
- W4327773080 hasLocation W43277730801 @default.
- W4327773080 hasOpenAccess W4327773080 @default.
- W4327773080 hasPrimaryLocation W43277730801 @default.
- W4327773080 hasRelatedWork W2731899572 @default.
- W4327773080 hasRelatedWork W2732542196 @default.
- W4327773080 hasRelatedWork W2738221750 @default.
- W4327773080 hasRelatedWork W3116150086 @default.
- W4327773080 hasRelatedWork W3133861977 @default.
- W4327773080 hasRelatedWork W3156786002 @default.
- W4327773080 hasRelatedWork W4200173597 @default.
- W4327773080 hasRelatedWork W4312417841 @default.
- W4327773080 hasRelatedWork W4321369474 @default.
- W4327773080 hasRelatedWork W564581980 @default.
- W4327773080 isParatext "false" @default.
- W4327773080 isRetracted "false" @default.
- W4327773080 workType "article" @default.