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Sparsity based denoising of spectral domain optical coherence tomography images
In this paper, we make contact with the field of compressive sensing and present a development and generalization of tools and results for reconstructing irregularly sampled tomographic data. In particular, we focus on denoising Spectral-Domain Optical Coherence Tomography (SDOCT) volumetric data. W...
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| Huvudupphovsmän: | , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Optical Society of America
2012
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3342198/ https://ncbi.nlm.nih.gov/pubmed/22567586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.3.000927 |
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