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 +

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.

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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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