Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891361818> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2891361818 endingPage "337" @default.
- W2891361818 startingPage "324" @default.
- W2891361818 abstract "Abstract Example regression-based single image super-resolution (SR) technique has been recognized as an effective way to produce a high-quality image with finer details from one low-resolution (LR) input. However, most current popular approaches usually establish the mappings from the LR feature space to the final HR one in one-pass scheme, which is insufficient to represent the complicated mapping relationship well. In this paper, we propose a novel single image SR framework by learning a group of linear residual regressors in a boosting manner so as to alleviate the gap between the underlying mappings and estimated mappings. In the training stage, we begin with the learning of a set of linear regressors by integrating the K-SVD dictionary learning algorithm and the ridge regression, and then further improve the HR estimate accuracy by learning multi-round residual regressors from the estimated errors in a cascade manner. Accordingly, in the testing stage more details can be gradually added into the input LR image by applying the learned multi-round residual regressors to SR reconstruction. The proposed SR method is fundamentally coarse-to-fine. Experimental results carried out on six publicly available datasets indicate that the proposed SR framework achieves promising performance in comparing with other state-of-the-art competitors in terms of both subjective and objective equality assessments." @default.
- W2891361818 created "2018-09-27" @default.
- W2891361818 creator A5005864702 @default.
- W2891361818 creator A5062655544 @default.
- W2891361818 creator A5065058975 @default.
- W2891361818 creator A5086716119 @default.
- W2891361818 creator A5089465602 @default.
- W2891361818 date "2019-01-01" @default.
- W2891361818 modified "2023-10-10" @default.
- W2891361818 title "Learning recurrent residual regressors for single image super-resolution" @default.
- W2891361818 cites W1815498672 @default.
- W2891361818 cites W1963932623 @default.
- W2891361818 cites W2005490094 @default.
- W2891361818 cites W2011952414 @default.
- W2891361818 cites W2044011870 @default.
- W2891361818 cites W2059283460 @default.
- W2891361818 cites W2064945773 @default.
- W2891361818 cites W2067625321 @default.
- W2891361818 cites W2088254198 @default.
- W2891361818 cites W2097074225 @default.
- W2891361818 cites W2103844245 @default.
- W2891361818 cites W2109453625 @default.
- W2891361818 cites W2121058967 @default.
- W2891361818 cites W2127271355 @default.
- W2891361818 cites W2133665775 @default.
- W2891361818 cites W2141983208 @default.
- W2891361818 cites W2160547390 @default.
- W2891361818 cites W2187133255 @default.
- W2891361818 cites W2428551659 @default.
- W2891361818 cites W2546471346 @default.
- W2891361818 cites W2592088493 @default.
- W2891361818 cites W2678379284 @default.
- W2891361818 cites W2728384726 @default.
- W2891361818 cites W2736515478 @default.
- W2891361818 cites W2752965212 @default.
- W2891361818 cites W2793624040 @default.
- W2891361818 doi "https://doi.org/10.1016/j.sigpro.2018.09.002" @default.
- W2891361818 hasPublicationYear "2019" @default.
- W2891361818 type Work @default.
- W2891361818 sameAs 2891361818 @default.
- W2891361818 citedByCount "18" @default.
- W2891361818 countsByYear W28913618182019 @default.
- W2891361818 countsByYear W28913618182020 @default.
- W2891361818 countsByYear W28913618182021 @default.
- W2891361818 countsByYear W28913618182022 @default.
- W2891361818 countsByYear W28913618182023 @default.
- W2891361818 crossrefType "journal-article" @default.
- W2891361818 hasAuthorship W2891361818A5005864702 @default.
- W2891361818 hasAuthorship W2891361818A5062655544 @default.
- W2891361818 hasAuthorship W2891361818A5065058975 @default.
- W2891361818 hasAuthorship W2891361818A5086716119 @default.
- W2891361818 hasAuthorship W2891361818A5089465602 @default.
- W2891361818 hasConcept C11413529 @default.
- W2891361818 hasConcept C115961682 @default.
- W2891361818 hasConcept C138268822 @default.
- W2891361818 hasConcept C141239990 @default.
- W2891361818 hasConcept C153180895 @default.
- W2891361818 hasConcept C154945302 @default.
- W2891361818 hasConcept C155512373 @default.
- W2891361818 hasConcept C28490314 @default.
- W2891361818 hasConcept C31972630 @default.
- W2891361818 hasConcept C33923547 @default.
- W2891361818 hasConcept C41008148 @default.
- W2891361818 hasConceptScore W2891361818C11413529 @default.
- W2891361818 hasConceptScore W2891361818C115961682 @default.
- W2891361818 hasConceptScore W2891361818C138268822 @default.
- W2891361818 hasConceptScore W2891361818C141239990 @default.
- W2891361818 hasConceptScore W2891361818C153180895 @default.
- W2891361818 hasConceptScore W2891361818C154945302 @default.
- W2891361818 hasConceptScore W2891361818C155512373 @default.
- W2891361818 hasConceptScore W2891361818C28490314 @default.
- W2891361818 hasConceptScore W2891361818C31972630 @default.
- W2891361818 hasConceptScore W2891361818C33923547 @default.
- W2891361818 hasConceptScore W2891361818C41008148 @default.
- W2891361818 hasFunder F4320321001 @default.
- W2891361818 hasFunder F4320322186 @default.
- W2891361818 hasFunder F4320324173 @default.
- W2891361818 hasLocation W28913618181 @default.
- W2891361818 hasOpenAccess W2891361818 @default.
- W2891361818 hasPrimaryLocation W28913618181 @default.
- W2891361818 hasRelatedWork W2005185696 @default.
- W2891361818 hasRelatedWork W2130228941 @default.
- W2891361818 hasRelatedWork W2161229648 @default.
- W2891361818 hasRelatedWork W2183268662 @default.
- W2891361818 hasRelatedWork W2235753890 @default.
- W2891361818 hasRelatedWork W2972435282 @default.
- W2891361818 hasRelatedWork W2993674027 @default.
- W2891361818 hasRelatedWork W3003805155 @default.
- W2891361818 hasRelatedWork W4285786467 @default.
- W2891361818 hasRelatedWork W4293138881 @default.
- W2891361818 hasVolume "154" @default.
- W2891361818 isParatext "false" @default.
- W2891361818 isRetracted "false" @default.
- W2891361818 magId "2891361818" @default.
- W2891361818 workType "article" @default.