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22 January 2018 Edge detection from Bayer color filter array image
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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.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
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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