Partial Demosaicing for stereo matching of CFA images on GPU and CPU - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Partial Demosaicing for stereo matching of CFA images on GPU and CPU

Résumé

This paper presents a GPU implementation of a partial demosaicing scheme that is specially designed for stereo matching of CFA image. This method consists of three main techniques keys: the adapted matching cost for CFA image, the estimated Second color component based on Hamilton’s estimate method and a robust cost aggregation window. Experiments are carried out to explore the performance for this method on GPU both at matching quality and matching efficiency, with comparison with version on CPU. The experiments on different size image pairs from Middlebury dataset show that this method can be substantially accelerated on GPU when the image size is large and has still space for improvements in performance.
Fichier principal
Vignette du fichier
doc00016962.pdf (621.55 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00941423 , version 1 (03-02-2014)

Identifiants

  • HAL Id : hal-00941423 , version 1

Citer

Naiyu Zhang, Jean-Charles Creput, Hongjian Wang, Cyril Meurie, Yassine Ruichek. Partial Demosaicing for stereo matching of CFA images on GPU and CPU. 3rd International Conference on Advanced Communications and Computation, INFOCOMP, Nov 2013, Portugal. p33-38. ⟨hal-00941423⟩
53 Consultations
80 Téléchargements

Partager

Gmail Facebook X LinkedIn More