Matches in SemOpenAlex for { <https://semopenalex.org/work/W3005614868> ?p ?o ?g. }
- W3005614868 endingPage "30627" @default.
- W3005614868 startingPage "30615" @default.
- W3005614868 abstract "Rain streaks can affect visual visibility, and hence disable many visual algorithms. So we present a double recurrent dense network for removing rain streaks from single image. Assume the rain image is the superposition of the clean image and the rain streaks, we directly learn the rain streaks from the rainy image. In contrast to other models, we introduce a double recurrent scheme to promote better information reuse of rain streaks and relative clean image. For rain streaks, the LSTM cascaded by DenseNet blocks is used as the basic model. The relative clean image predicted by subtracting the rain streaks from the rainy image is then input to the basic model in an iterative way. Benefiting from double recurrent schemes, our model makes full use of rain streaks and image detail information and thoroughly removes rain streaks. Furthermore, we adopt a mix of $L_{1}$ loss, $L_{2}$ loss and SSIM loss to guarantee good rain removing performance. We conduct a plenty of experiments on synthetic and real rainy images, even on similar denoise task, the results not only show our model significantly outperforms the state-of-art methods for removing rain streaks, but also exhibit our model has a high effectiveness for similar task, i.e. image denoising." @default.
- W3005614868 created "2020-02-24" @default.
- W3005614868 creator A5021010269 @default.
- W3005614868 creator A5025660318 @default.
- W3005614868 creator A5046492947 @default.
- W3005614868 creator A5069971159 @default.
- W3005614868 creator A5079284562 @default.
- W3005614868 date "2020-01-01" @default.
- W3005614868 modified "2023-10-14" @default.
- W3005614868 title "Double Recurrent Dense Network for Single Image Deraining" @default.
- W3005614868 cites W1906770428 @default.
- W3005614868 cites W1909316225 @default.
- W3005614868 cites W1976056157 @default.
- W3005614868 cites W1986266272 @default.
- W3005614868 cites W2005876512 @default.
- W3005614868 cites W2017416107 @default.
- W3005614868 cites W2037642501 @default.
- W3005614868 cites W2048695508 @default.
- W3005614868 cites W2056370875 @default.
- W3005614868 cites W2064675550 @default.
- W3005614868 cites W2114770744 @default.
- W3005614868 cites W2119535410 @default.
- W3005614868 cites W2121396509 @default.
- W3005614868 cites W2122596619 @default.
- W3005614868 cites W2130184048 @default.
- W3005614868 cites W2133665775 @default.
- W3005614868 cites W2154621477 @default.
- W3005614868 cites W2157331557 @default.
- W3005614868 cites W2209874411 @default.
- W3005614868 cites W2466666260 @default.
- W3005614868 cites W2508457857 @default.
- W3005614868 cites W2509784253 @default.
- W3005614868 cites W2559264300 @default.
- W3005614868 cites W2562637781 @default.
- W3005614868 cites W2570485842 @default.
- W3005614868 cites W2737207197 @default.
- W3005614868 cites W2740982616 @default.
- W3005614868 cites W2780930362 @default.
- W3005614868 cites W2789288870 @default.
- W3005614868 cites W2790883954 @default.
- W3005614868 cites W2884068670 @default.
- W3005614868 cites W2899755065 @default.
- W3005614868 cites W2913360047 @default.
- W3005614868 cites W2963017889 @default.
- W3005614868 cites W2963446712 @default.
- W3005614868 cites W2963494934 @default.
- W3005614868 cites W2963641969 @default.
- W3005614868 cites W2963800716 @default.
- W3005614868 cites W2963878020 @default.
- W3005614868 cites W2964212750 @default.
- W3005614868 cites W2964267765 @default.
- W3005614868 cites W3104725225 @default.
- W3005614868 doi "https://doi.org/10.1109/access.2020.2972909" @default.
- W3005614868 hasPublicationYear "2020" @default.
- W3005614868 type Work @default.
- W3005614868 sameAs 3005614868 @default.
- W3005614868 citedByCount "2" @default.
- W3005614868 countsByYear W30056148682021 @default.
- W3005614868 countsByYear W30056148682022 @default.
- W3005614868 crossrefType "journal-article" @default.
- W3005614868 hasAuthorship W3005614868A5021010269 @default.
- W3005614868 hasAuthorship W3005614868A5025660318 @default.
- W3005614868 hasAuthorship W3005614868A5046492947 @default.
- W3005614868 hasAuthorship W3005614868A5069971159 @default.
- W3005614868 hasAuthorship W3005614868A5079284562 @default.
- W3005614868 hasBestOaLocation W30056148681 @default.
- W3005614868 hasConcept C106430172 @default.
- W3005614868 hasConcept C115961682 @default.
- W3005614868 hasConcept C123403432 @default.
- W3005614868 hasConcept C134306372 @default.
- W3005614868 hasConcept C153294291 @default.
- W3005614868 hasConcept C154945302 @default.
- W3005614868 hasConcept C162324750 @default.
- W3005614868 hasConcept C187736073 @default.
- W3005614868 hasConcept C205649164 @default.
- W3005614868 hasConcept C27753989 @default.
- W3005614868 hasConcept C2776502983 @default.
- W3005614868 hasConcept C2780451532 @default.
- W3005614868 hasConcept C31972630 @default.
- W3005614868 hasConcept C33923547 @default.
- W3005614868 hasConcept C41008148 @default.
- W3005614868 hasConcept C9417928 @default.
- W3005614868 hasConceptScore W3005614868C106430172 @default.
- W3005614868 hasConceptScore W3005614868C115961682 @default.
- W3005614868 hasConceptScore W3005614868C123403432 @default.
- W3005614868 hasConceptScore W3005614868C134306372 @default.
- W3005614868 hasConceptScore W3005614868C153294291 @default.
- W3005614868 hasConceptScore W3005614868C154945302 @default.
- W3005614868 hasConceptScore W3005614868C162324750 @default.
- W3005614868 hasConceptScore W3005614868C187736073 @default.
- W3005614868 hasConceptScore W3005614868C205649164 @default.
- W3005614868 hasConceptScore W3005614868C27753989 @default.
- W3005614868 hasConceptScore W3005614868C2776502983 @default.
- W3005614868 hasConceptScore W3005614868C2780451532 @default.
- W3005614868 hasConceptScore W3005614868C31972630 @default.
- W3005614868 hasConceptScore W3005614868C33923547 @default.
- W3005614868 hasConceptScore W3005614868C41008148 @default.
- W3005614868 hasConceptScore W3005614868C9417928 @default.