FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2032024719> ?p ?o ?g. }

• W2032024719 endingPage "1270" @default.
• W2032024719 startingPage "1261" @default.
• W2032024719 abstract "Methods of achieving image super-resolution (SR) have been the object of research for some time. These approaches suggest that when a low-resolution (LR) image is directly down sampled from its corresponding high-resolution (HR) image without blurring, i.e., the blurring kernel is the Dirac delta function, the reconstruction becomes an image-interpolation problem. Hence, this is a pervasive way to explore the linear relationship among neighboring pixels to reconstruct a HR image from a LR input image. This paper seeks an efficient method to determine the local order of the linear model implicitly. According to the theory of low-rank matrix completion and recovery, a method for performing single-image SR is proposed by formulating the reconstruction as the recovery of a low-rank matrix, which can be solved by the augmented Lagrange multiplier method. In addition, the proposed method can be used to handle noisy data and random perturbations robustly. The experimental results show that the proposed method is effective and competitive compared with other methods." @default.
• W2032024719 created "2016-06-24" @default.
• W2032024719 creator A5003313838 @default.
• W2032024719 creator A5004606125 @default.
• W2032024719 creator A5045211553 @default.
• W2032024719 date "2015-08-01" @default.
• W2032024719 modified "2023-10-12" @default.
• W2032024719 title "Image Interpolation via Low-Rank Matrix Completion and Recovery" @default.
• W2032024719 cites W1791560514 @default.
• W2032024719 cites W1973794531 @default.
• W2032024719 cites W1983614167 @default.
• W2032024719 cites W1992408872 @default.
• W2032024719 cites W1999666556 @default.
• W2032024719 cites W2028781966 @default.
• W2032024719 cites W2044011870 @default.
• W2032024719 cites W2053186076 @default.
• W2032024719 cites W2054439121 @default.
• W2032024719 cites W2056758595 @default.
• W2032024719 cites W2064451467 @default.
• W2032024719 cites W2064973427 @default.
• W2032024719 cites W2065277358 @default.
• W2032024719 cites W2067042811 @default.
• W2032024719 cites W2067108728 @default.
• W2032024719 cites W2067625321 @default.
• W2032024719 cites W2076959472 @default.
• W2032024719 cites W2091449379 @default.
• W2032024719 cites W2097074225 @default.
• W2032024719 cites W2103844245 @default.
• W2032024719 cites W2103972604 @default.
• W2032024719 cites W2104876002 @default.
• W2032024719 cites W2118550318 @default.
• W2032024719 cites W2118963448 @default.
• W2032024719 cites W2119499160 @default.
• W2032024719 cites W2121058967 @default.
• W2032024719 cites W2124378283 @default.
• W2032024719 cites W2125188192 @default.
• W2032024719 cites W2129131372 @default.
• W2032024719 cites W2131024476 @default.
• W2032024719 cites W2134332047 @default.
• W2032024719 cites W2137577104 @default.
• W2032024719 cites W2145096794 @default.
• W2032024719 cites W2145962650 @default.
• W2032024719 cites W2157190232 @default.
• W2032024719 cites W2157494358 @default.
• W2032024719 cites W2164551808 @default.
• W2032024719 cites W2172128189 @default.
• W2032024719 cites W2534320940 @default.
• W2032024719 cites W2611328865 @default.
• W2032024719 cites W3104624268 @default.
• W2032024719 doi "https://doi.org/10.1109/tcsvt.2014.2372351" @default.
• W2032024719 hasPublicationYear "2015" @default.
• W2032024719 type Work @default.
• W2032024719 sameAs 2032024719 @default.
• W2032024719 citedByCount "46" @default.
• W2032024719 countsByYear W20320247192013 @default.
• W2032024719 countsByYear W20320247192016 @default.
• W2032024719 countsByYear W20320247192017 @default.
• W2032024719 countsByYear W20320247192018 @default.
• W2032024719 countsByYear W20320247192019 @default.
• W2032024719 countsByYear W20320247192020 @default.
• W2032024719 countsByYear W20320247192021 @default.
• W2032024719 countsByYear W20320247192022 @default.
• W2032024719 countsByYear W20320247192023 @default.
• W2032024719 crossrefType "journal-article" @default.
• W2032024719 hasAuthorship W2032024719A5003313838 @default.
• W2032024719 hasAuthorship W2032024719A5004606125 @default.
• W2032024719 hasAuthorship W2032024719A5045211553 @default.
• W2032024719 hasConcept C106430172 @default.
• W2032024719 hasConcept C11413529 @default.
• W2032024719 hasConcept C114614502 @default.
• W2032024719 hasConcept C115961682 @default.
• W2032024719 hasConcept C119768884 @default.
• W2032024719 hasConcept C121332964 @default.
• W2032024719 hasConcept C137800194 @default.
• W2032024719 hasConcept C153180895 @default.
• W2032024719 hasConcept C154945302 @default.
• W2032024719 hasConcept C160633673 @default.
• W2032024719 hasConcept C163716315 @default.
• W2032024719 hasConcept C171836373 @default.
• W2032024719 hasConcept C205372480 @default.
• W2032024719 hasConcept C2778459887 @default.
• W2032024719 hasConcept C31972630 @default.
• W2032024719 hasConcept C33923547 @default.
• W2032024719 hasConcept C41008148 @default.
• W2032024719 hasConcept C62520636 @default.
• W2032024719 hasConcept C74193536 @default.
• W2032024719 hasConcept C9417928 @default.
• W2032024719 hasConceptScore W2032024719C106430172 @default.
• W2032024719 hasConceptScore W2032024719C11413529 @default.
• W2032024719 hasConceptScore W2032024719C114614502 @default.
• W2032024719 hasConceptScore W2032024719C115961682 @default.
• W2032024719 hasConceptScore W2032024719C119768884 @default.
• W2032024719 hasConceptScore W2032024719C121332964 @default.
• W2032024719 hasConceptScore W2032024719C137800194 @default.
• W2032024719 hasConceptScore W2032024719C153180895 @default.
• W2032024719 hasConceptScore W2032024719C154945302 @default.
• W2032024719 hasConceptScore W2032024719C160633673 @default.
• W2032024719 hasConceptScore W2032024719C163716315 @default.

• next