Matches in SemOpenAlex for { <https://semopenalex.org/work/W3022425341> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W3022425341 abstract "Nowadays, SRR (super resolution image reconstruction) technology is a very effective method in improving spatial resolution of images and obtaining high-definition images. The SRR approach is an image late processing method that does not require any improvement in the hardware of the imaging system. In the SRR reconstruction model, it is the key point of the research to choose a proper cost function to achieve good reconstruction effect. In this paper, based on a lot of research, Lorenzian norm is employed as the error term, Tikhonov regularization is employed as the regularization term in the reconstruction model, and iteration method is employed in the process of SRR. In this way, the outliers and image edge preserving problems in SRR reconstruction process can be effectively solved and a good reconstruction effect can be achieved. A low resolution MRI brain image sequence with motion blur and several noises are used to test the SRR reconstruction algorithm in this paper and the reconstruction results of SRR reconstruction algorithm based on L2 norm are also be used for comparison and analysis. Results from experiments show that the SRR algorithm in this paper has better practicability and effectiveness." @default.
- W3022425341 created "2020-05-13" @default.
- W3022425341 creator A5003570049 @default.
- W3022425341 creator A5019478456 @default.
- W3022425341 creator A5079997628 @default.
- W3022425341 date "2017-12-19" @default.
- W3022425341 modified "2023-10-12" @default.
- W3022425341 title "Lorentzian Norm based Super-resolution Reconstruction of Brain MRI Image" @default.
- W3022425341 doi "https://doi.org/10.4108/eai.19-12-2017.153485" @default.
- W3022425341 hasPublicationYear "2017" @default.
- W3022425341 type Work @default.
- W3022425341 sameAs 3022425341 @default.
- W3022425341 citedByCount "0" @default.
- W3022425341 crossrefType "journal-article" @default.
- W3022425341 hasAuthorship W3022425341A5003570049 @default.
- W3022425341 hasAuthorship W3022425341A5019478456 @default.
- W3022425341 hasAuthorship W3022425341A5079997628 @default.
- W3022425341 hasBestOaLocation W30224253411 @default.
- W3022425341 hasConcept C111472728 @default.
- W3022425341 hasConcept C115961682 @default.
- W3022425341 hasConcept C138885662 @default.
- W3022425341 hasConcept C141239990 @default.
- W3022425341 hasConcept C141379421 @default.
- W3022425341 hasConcept C154945302 @default.
- W3022425341 hasConcept C15744967 @default.
- W3022425341 hasConcept C169760540 @default.
- W3022425341 hasConcept C191795146 @default.
- W3022425341 hasConcept C31972630 @default.
- W3022425341 hasConcept C33923547 @default.
- W3022425341 hasConcept C41008148 @default.
- W3022425341 hasConcept C58693492 @default.
- W3022425341 hasConceptScore W3022425341C111472728 @default.
- W3022425341 hasConceptScore W3022425341C115961682 @default.
- W3022425341 hasConceptScore W3022425341C138885662 @default.
- W3022425341 hasConceptScore W3022425341C141239990 @default.
- W3022425341 hasConceptScore W3022425341C141379421 @default.
- W3022425341 hasConceptScore W3022425341C154945302 @default.
- W3022425341 hasConceptScore W3022425341C15744967 @default.
- W3022425341 hasConceptScore W3022425341C169760540 @default.
- W3022425341 hasConceptScore W3022425341C191795146 @default.
- W3022425341 hasConceptScore W3022425341C31972630 @default.
- W3022425341 hasConceptScore W3022425341C33923547 @default.
- W3022425341 hasConceptScore W3022425341C41008148 @default.
- W3022425341 hasConceptScore W3022425341C58693492 @default.
- W3022425341 hasLocation W30224253411 @default.
- W3022425341 hasLocation W30224253412 @default.
- W3022425341 hasOpenAccess W3022425341 @default.
- W3022425341 hasPrimaryLocation W30224253411 @default.
- W3022425341 hasRelatedWork W2027542625 @default.
- W3022425341 hasRelatedWork W2071433170 @default.
- W3022425341 hasRelatedWork W2102312026 @default.
- W3022425341 hasRelatedWork W2327340211 @default.
- W3022425341 hasRelatedWork W2590652280 @default.
- W3022425341 hasRelatedWork W2885663991 @default.
- W3022425341 hasRelatedWork W4292199793 @default.
- W3022425341 hasRelatedWork W4320087175 @default.
- W3022425341 hasRelatedWork W2282195379 @default.
- W3022425341 hasRelatedWork W2295388821 @default.
- W3022425341 isParatext "false" @default.
- W3022425341 isRetracted "false" @default.
- W3022425341 magId "3022425341" @default.
- W3022425341 workType "article" @default.