Illumination-robust multispectral demosaicing

Snapshot multispectral cameras that are equipped with filter arrays acquire a raw image that represents the radiance of a scene over the electromagnetic spectrum at video rate. These cameras require a demosaicing procedure to estimate a multispectral image with full spatio-spectral definition. Such...

Full description

Saved in:
Bibliographic Details
Main Authors: Mihoubi, Sofiane, Mathon, Benjamin, Thomas, Jean-Baptiste, Losson, Olivier, Macaire, Ludovic
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Channel estimation
Correlation
Hyperspectral imaging
Illumination
Image demosaicing
Indexes
Lighting
Multispectral filter array
Sensitivity
Snapshot camera
Spectral correlation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Snapshot multispectral cameras that are equipped with filter arrays acquire a raw image that represents the radiance of a scene over the electromagnetic spectrum at video rate. These cameras require a demosaicing procedure to estimate a multispectral image with full spatio-spectral definition. Such a procedure is based on spectral correlation properties that are sensitive to illumination. In this paper, we first highlight the influence of illumination on demosaicing performances. Then we propose camera-, illumination-, and raw image-based normalisations that make demosaicing robust to illumination. Experimental results on state-of-the-art demosaicing algorithms show that such normalisations improve the quality of multispectral images estimated from raw images acquired under various illuminations.
ISSN:2154-512X
DOI:10.1109/IPTA.2017.8310135