ArticleSensors (Basel, Switzerland)2019
Optimized Multi-Spectral Filter Arrays for Spectral Reconstruction.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis.Journal of biomedical optics · 2022Pooled it
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- Realisation of an Application Specific Multispectral Snapshot-Imaging System Based on Multi-Aperture-Technology and Multispectral Machine Learning Loops.Sensors (Basel, Switzerland) · 2024Article
- Targeted multispectral filter array design for the optimization of endoscopic cancer detection in the gastrointestinal tract.Journal of biomedical optics · 2024Article
- Design of a Dual-Mode Multispectral Filter Array.Sensors (Basel, Switzerland) · 2023Article
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Direct Laser Writing of Functional QD-Polymer Structure with High Resolution.Materials (Basel, Switzerland) · 2023Article
- Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring.Sensors (Basel, Switzerland) · 2023Article
- Opti-MSFA: a toolbox for generalized design and optimization of multispectral filter arrays.Optics express · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Multispectral filter array (MSFA)-based imaging is a compact, practical technique for snapshot spectral image capturing and reconstruction. The imaging and reconstruction quality is highly influenced by the spectral sensitivities and spatial arrangement of channels on MSFAs, and the used reconstruction method. In order to design a MSFA with high imaging capacity, we propose a sparse representation based approach to optimize spectral sensitivities and spatial arrangement of MSFAs. The proposed approach first overall models the various errors associated with spectral reconstruction, and then uses a global heuristic searching method to optimize MSFAs via minimizing the estimated error of MSFAs. Our MSFA optimization method can select filters from off-the-shelf candidate filter sets while assigning the selected filters to the designed MSFA. Experimental results on three datasets show that the proposed method is more efficient, flexible, and can design MSFAs with lower spectral construction errors when compared with existing state-of-the-art methods. The MSFAs designed by our method show better performance than others even using different spectral reconstruction methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.