Edge detection from Bayer color filter array image

Arezki Aberkane; Olivier Losson; Ludovic Macaire

doi:10.1117/1.JEI.27.1.011006

22 January 2018 Edge detection from Bayer color filter array image

Arezki Aberkane, Olivier Losson, Ludovic Macaire

Author Affiliations +

Funded by: Innovation Research in the Digital and Interactive Visual Environments (IrDIVE)

Journal of Electronic Imaging, Vol. 27, Issue 1, 011006 (January 2018). https://doi.org/10.1117/1.JEI.27.1.011006

Abstract

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.

Citation Download Citation

Arezki Aberkane, Olivier Losson, and Ludovic Macaire "Edge detection from Bayer color filter array image," Journal of Electronic Imaging 27(1), 011006 (22 January 2018). https://doi.org/10.1117/1.JEI.27.1.011006

Received: 30 September 2017; Accepted: 21 December 2017; Published: 22 January 2018

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