Pattern-invariant Unrolling for Robust Demosaicking - SIGMAPHY
Communication Dans Un Congrès Année : 2024

Pattern-invariant Unrolling for Robust Demosaicking

Résumé

To acquire color images, most commercial camerasrely on color filter arrays (CFAs), which are a pattern ofcolor filters overlaid over the sensor’s focal plane. Demosaickingdescribes the processing techniques to reconstruct a full colorimage for all pixels on the focal plane array. Most demosaickingmethods are tailored for a specific CFA, and tend to workpoorly for others. In this work we present an algorithm fordemosaicking a wide variety of CFAs. The proposed methodallows to blend the knowledge of the CFA with informationcoming from data, employing a novel transformation and pattern-invariant loss function. The method is based on the unrolling ofan algorithm based on a neural network learned on availableexamples. Preliminary experiments over RGB and RGBW CFAsshow that the method performs well over a range of CFAs and iscompetitive for CFAs for which competing methods were tailoredto work well on.
Fichier principal
Vignette du fichier
main.pdf (1.65 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04666328 , version 1 (01-08-2024)

Identifiants

  • HAL Id : hal-04666328 , version 1

Citer

Matthieu Muller, Daniele Picone, Mauro Dalla Mura, Magnus O Ulfarsson. Pattern-invariant Unrolling for Robust Demosaicking. EUSIPCO 2024 - 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04666328⟩
215 Consultations
105 Téléchargements

Partager

More