Skip to Main content Skip to Navigation
Journal articles

N-LMMSE Demosaicing for Spectral Filter Arrays

Abstract : Spectral filter array (SFA) technology requires development on demosaicing. The authors extend the linear minimum mean square error with neighborhood method to the spectral dimension. They demonstrate that the method is fast and general on Raw SFA images that span the visible and near infra-red part of the electromagnetic range. The method is quantitatively evaluated in simulation first, then the authors evaluate it on real data by the use of non-reference image quality metrics applied on each band. Resulting images show a much better reconstruction of text and high frequencies at the expense of a zipping effect, compared to the benchmark binary-tree method.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01676144
Contributor : Christine Cannard <>
Submitted on : Friday, January 5, 2018 - 11:10:13 AM
Last modification on : Friday, November 6, 2020 - 3:35:44 AM

Links full text

Identifiers

Citation

Prakhar Amba, Jean Baptiste Thomas, David Alleysson. N-LMMSE Demosaicing for Spectral Filter Arrays. Journal of Imaging Science and Technology, Society for Imaging Science and Technology, 2017, 61 (4), pp.40407-1-40407-11. ⟨10.2352/J.ImagingSci.Technol.2017.61.4.040407⟩. ⟨hal-01676144⟩

Share

Metrics

Record views

478