Illumination-robust multispectral demosaicing
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Illumination-robust multispectral demosaicing |
| Type de publication | Conference Paper |
| Year of Publication | 2017 |
| Auteurs | Mihoubi S, Mathon B, Thomas J-B, Losson O, Macaire L |
| Conference Name | PROCEEDINGS OF THE 2017 SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA 2017) |
| Publisher | IEEE; European Assoc Signal Proc; ETS; Genetec; Matrox |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-5386-1842-4 |
| Mots-clés | Illumination, Image demosaicing, Multispectral filter array, Snapshot camera, Spectral correlation |
| Résumé | 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. |