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A Rehabilitation of Pixel-Based Spectral Reconstruction from RGB Images
Recently, many deep neural networks (DNN) have been proposed to solve the spectral reconstruction (SR) problem: recovering spectra from RGB measurements. Most DNNs seek to learn the relationship between an RGB viewed in a given spatial context and its corresponding spectra. Significantly, it is argu...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142338/ https://www.ncbi.nlm.nih.gov/pubmed/37112497 http://dx.doi.org/10.3390/s23084155 |