Edge detection from Bayer color filter array image - ANR - Agence nationale de la recherche Accéder directement au contenu
Article Dans Une Revue Journal of Electronic Imaging Année : 2018

Edge detection from Bayer color filter array image

Résumé

Single-sensor color cameras primarily form images through a color filter array laid over the sensor. The acquired raw data represent a single color component per pixel and usually undergo demosaicking to form fully defined color images. This, however, produces artifacts that may affect the performance of low-level processing tasks applied to such estimated images. We instead propose to directly use raw data to estimate the image partial derivatives for edge detection. Considering luminance- and color-based approaches based on Deriche filters, we show that schemes using raw data may provide as accurate edge detection results as classical demosaicking-based ones at much reduced computational cost.
Fichier non déposé

Dates et versions

hal-01682137 , version 1 (12-01-2018)

Identifiants

Citer

Arezki Aberkane, Olivier Losson, Ludovic Macaire. Edge detection from Bayer color filter array image. Journal of Electronic Imaging, 2018, 27 (1), pp.011006. ⟨10.1117/1.JEI.27.1.011006⟩. ⟨hal-01682137⟩
369 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More