Matches in SemOpenAlex for { <https://semopenalex.org/work/W2811015145> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2811015145 abstract "The Bayesian theory provides a new solution to image super-resolution reconstruction. In view of the poor robustness to noise and motion estimation in the vast majority of superresolution reconstruction algorithms. In this paper, we propose an image super-resolution reconstruction algorithm based on Bayesian representation. In the proposed algorithm, uncharted super-resolution images, motion parameters and unknown model parameters are utilized for modeling in a hierarchical Bayesian framework. We adopt degenerate distribution to derive the estimation of analytic solutions and applied the solutions to the super-resolution reconstruction which also enables the proposed algorithm robust to noises. The experimental results show that the proposed image super-resolution reconstruction algorithm based on Bayesian representation can achieve higher (or similar) performance than the state of-the-art methods." @default.
- W2811015145 created "2018-07-10" @default.
- W2811015145 creator A5000212361 @default.
- W2811015145 creator A5016398294 @default.
- W2811015145 creator A5020609129 @default.
- W2811015145 creator A5027110430 @default.
- W2811015145 creator A5030468856 @default.
- W2811015145 creator A5054974260 @default.
- W2811015145 creator A5059775071 @default.
- W2811015145 creator A5060909441 @default.
- W2811015145 creator A5076430673 @default.
- W2811015145 creator A5084648724 @default.
- W2811015145 creator A5088111638 @default.
- W2811015145 date "2018-05-01" @default.
- W2811015145 modified "2023-09-23" @default.
- W2811015145 title "Image super-resolution reconstruction algorithm based on Bayesian theory" @default.
- W2811015145 cites W1929958375 @default.
- W2811015145 cites W1972142352 @default.
- W2811015145 cites W1990666593 @default.
- W2811015145 cites W1991275931 @default.
- W2811015145 cites W2031832897 @default.
- W2811015145 cites W2044011870 @default.
- W2811015145 cites W2045422008 @default.
- W2811015145 cites W2107384509 @default.
- W2811015145 cites W2111098411 @default.
- W2811015145 cites W2132326029 @default.
- W2811015145 cites W2138714160 @default.
- W2811015145 cites W2147863920 @default.
- W2811015145 cites W2159335479 @default.
- W2811015145 cites W2164592660 @default.
- W2811015145 cites W2167646546 @default.
- W2811015145 cites W2344932324 @default.
- W2811015145 cites W3104720471 @default.
- W2811015145 doi "https://doi.org/10.1109/iciea.2018.8398025" @default.
- W2811015145 hasPublicationYear "2018" @default.
- W2811015145 type Work @default.
- W2811015145 sameAs 2811015145 @default.
- W2811015145 citedByCount "4" @default.
- W2811015145 countsByYear W28110151452018 @default.
- W2811015145 countsByYear W28110151452019 @default.
- W2811015145 countsByYear W28110151452021 @default.
- W2811015145 crossrefType "proceedings-article" @default.
- W2811015145 hasAuthorship W2811015145A5000212361 @default.
- W2811015145 hasAuthorship W2811015145A5016398294 @default.
- W2811015145 hasAuthorship W2811015145A5020609129 @default.
- W2811015145 hasAuthorship W2811015145A5027110430 @default.
- W2811015145 hasAuthorship W2811015145A5030468856 @default.
- W2811015145 hasAuthorship W2811015145A5054974260 @default.
- W2811015145 hasAuthorship W2811015145A5059775071 @default.
- W2811015145 hasAuthorship W2811015145A5060909441 @default.
- W2811015145 hasAuthorship W2811015145A5076430673 @default.
- W2811015145 hasAuthorship W2811015145A5084648724 @default.
- W2811015145 hasAuthorship W2811015145A5088111638 @default.
- W2811015145 hasConcept C104317684 @default.
- W2811015145 hasConcept C107673813 @default.
- W2811015145 hasConcept C11413529 @default.
- W2811015145 hasConcept C115961682 @default.
- W2811015145 hasConcept C141379421 @default.
- W2811015145 hasConcept C153180895 @default.
- W2811015145 hasConcept C154945302 @default.
- W2811015145 hasConcept C185592680 @default.
- W2811015145 hasConcept C205372480 @default.
- W2811015145 hasConcept C2779898584 @default.
- W2811015145 hasConcept C31972630 @default.
- W2811015145 hasConcept C41008148 @default.
- W2811015145 hasConcept C55493867 @default.
- W2811015145 hasConcept C63479239 @default.
- W2811015145 hasConceptScore W2811015145C104317684 @default.
- W2811015145 hasConceptScore W2811015145C107673813 @default.
- W2811015145 hasConceptScore W2811015145C11413529 @default.
- W2811015145 hasConceptScore W2811015145C115961682 @default.
- W2811015145 hasConceptScore W2811015145C141379421 @default.
- W2811015145 hasConceptScore W2811015145C153180895 @default.
- W2811015145 hasConceptScore W2811015145C154945302 @default.
- W2811015145 hasConceptScore W2811015145C185592680 @default.
- W2811015145 hasConceptScore W2811015145C205372480 @default.
- W2811015145 hasConceptScore W2811015145C2779898584 @default.
- W2811015145 hasConceptScore W2811015145C31972630 @default.
- W2811015145 hasConceptScore W2811015145C41008148 @default.
- W2811015145 hasConceptScore W2811015145C55493867 @default.
- W2811015145 hasConceptScore W2811015145C63479239 @default.
- W2811015145 hasLocation W28110151451 @default.
- W2811015145 hasOpenAccess W2811015145 @default.
- W2811015145 hasPrimaryLocation W28110151451 @default.
- W2811015145 hasRelatedWork W2099840350 @default.
- W2811015145 hasRelatedWork W2116558684 @default.
- W2811015145 hasRelatedWork W2133506402 @default.
- W2811015145 hasRelatedWork W2178372683 @default.
- W2811015145 hasRelatedWork W2207510477 @default.
- W2811015145 hasRelatedWork W225335776 @default.
- W2811015145 hasRelatedWork W2288387465 @default.
- W2811015145 hasRelatedWork W2359727533 @default.
- W2811015145 hasRelatedWork W2384306449 @default.
- W2811015145 hasRelatedWork W2607825686 @default.
- W2811015145 isParatext "false" @default.
- W2811015145 isRetracted "false" @default.
- W2811015145 magId "2811015145" @default.
- W2811015145 workType "article" @default.