Matches in SemOpenAlex for { <https://semopenalex.org/work/W3175663423> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W3175663423 abstract "Low-light image is easily degraded by real noise, which brings great challenges for image enhancement task because the enhancement process will amplify the noise. To address this problem, we propose an amplified noise map guided network (AMG-Net), which simultaneously achieves the low-light enhancement and noise removal by extracting amplified noise map to guide the network training. Specifically, we build an encoder-decoder network as the basic enhancement model to get a preliminary enhanced image that usually includes amplified noise. Subsequently, we fed the preliminary enhanced image into a noise map estimator to continuously estimating the amplified noise map during the enhancement process by adopting residual connection. Finally, a residual block with adaptive instance normalization (AIN) is used to build a denoising model, which is guided by the noise map estimator to remove the amplified noise. Extensive experimental results demonstrate that the proposed AMG-Net can achieve competitive results compared with the existing state-of-the-art methods." @default.
- W3175663423 created "2021-07-05" @default.
- W3175663423 creator A5026109629 @default.
- W3175663423 creator A5034427070 @default.
- W3175663423 creator A5039480817 @default.
- W3175663423 creator A5067011395 @default.
- W3175663423 date "2021-02-26" @default.
- W3175663423 modified "2023-09-27" @default.
- W3175663423 title "Amplified Noise Map Guided Network for Low-Light Image Enhancement" @default.
- W3175663423 cites W2150461190 @default.
- W3175663423 cites W2412926690 @default.
- W3175663423 cites W2468596194 @default.
- W3175663423 cites W2566376500 @default.
- W3175663423 cites W2766802800 @default.
- W3175663423 cites W2783573276 @default.
- W3175663423 cites W2791710889 @default.
- W3175663423 cites W2935842779 @default.
- W3175663423 cites W2948354154 @default.
- W3175663423 cites W2962974533 @default.
- W3175663423 cites W2963766909 @default.
- W3175663423 cites W3034347506 @default.
- W3175663423 doi "https://doi.org/10.1145/3457682.3457731" @default.
- W3175663423 hasPublicationYear "2021" @default.
- W3175663423 type Work @default.
- W3175663423 sameAs 3175663423 @default.
- W3175663423 citedByCount "0" @default.
- W3175663423 crossrefType "proceedings-article" @default.
- W3175663423 hasAuthorship W3175663423A5026109629 @default.
- W3175663423 hasAuthorship W3175663423A5034427070 @default.
- W3175663423 hasAuthorship W3175663423A5039480817 @default.
- W3175663423 hasAuthorship W3175663423A5067011395 @default.
- W3175663423 hasConcept C115961682 @default.
- W3175663423 hasConcept C154945302 @default.
- W3175663423 hasConcept C3017601658 @default.
- W3175663423 hasConcept C31972630 @default.
- W3175663423 hasConcept C41008148 @default.
- W3175663423 hasConcept C99498987 @default.
- W3175663423 hasConceptScore W3175663423C115961682 @default.
- W3175663423 hasConceptScore W3175663423C154945302 @default.
- W3175663423 hasConceptScore W3175663423C3017601658 @default.
- W3175663423 hasConceptScore W3175663423C31972630 @default.
- W3175663423 hasConceptScore W3175663423C41008148 @default.
- W3175663423 hasConceptScore W3175663423C99498987 @default.
- W3175663423 hasLocation W31756634231 @default.
- W3175663423 hasOpenAccess W3175663423 @default.
- W3175663423 hasPrimaryLocation W31756634231 @default.
- W3175663423 hasRelatedWork W2005185696 @default.
- W3175663423 hasRelatedWork W2092957489 @default.
- W3175663423 hasRelatedWork W2130228941 @default.
- W3175663423 hasRelatedWork W2132132164 @default.
- W3175663423 hasRelatedWork W2161229648 @default.
- W3175663423 hasRelatedWork W2235753890 @default.
- W3175663423 hasRelatedWork W2314419244 @default.
- W3175663423 hasRelatedWork W2366116130 @default.
- W3175663423 hasRelatedWork W2993674027 @default.
- W3175663423 hasRelatedWork W3123424645 @default.
- W3175663423 isParatext "false" @default.
- W3175663423 isRetracted "false" @default.
- W3175663423 magId "3175663423" @default.
- W3175663423 workType "article" @default.