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Proceedings Paper

Computational inexpensive two-step auto white balance method
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Paper Abstract

The chromaticity of an acquired image reconstructed from a Bayer pattern image sensor is heavily dependent on the scene illuminant and needs color corrections to match human visual perception. This paper presents a method to 'white balance' an image that is computationally inexpensive for hardware implementation, has reasonable accuracy without the need of storing the full image, and is aligned to the current technical development of the field. The proposed method introduces the use of a 2D chromaticity diagram of the image to extract information about the resultant scene reflectance. It assumes that the presence of low-saturated colors in the scene will increase the probability of retrieving accurate scene color information.

Paper Details

Date Published: 10 February 2006
PDF: 9 pages
Proc. SPIE 6069, Digital Photography II, 60690D (10 February 2006); doi: 10.1117/12.643926
Show Author Affiliations
Sergio Goma, ATI Technologies, Inc. (Canada)
Milivoje Aleksic, ATI Technologies, Inc. (Canada)

Published in SPIE Proceedings Vol. 6069:
Digital Photography II
Nitin Sampat; Jeffrey M. DiCarlo; Russel A. Martin, Editor(s)

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