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Proceedings Paper

Real-time auto white balancing using DWT-based multi-scale clustering
Author(s): N. Kehtarnavaz; N. Kim; M. Gamadia
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Paper Abstract

Auto white balancing (AWB) involves the process of making white colors to appear as white under different illuminants in digital imaging products such as digital still cameras. This paper presents a computationally efficient auto white balancing algorithm for real-time deployment in imaging products. The algorithm utilizes DWT (discrete wavelet transform) to perform multi-scale clustering (MSC), thus generating a computationally efficient implementation of the original MSC algorithm. The paper also discusses the steps taken to allow running this algorithm in real-time on a digital camera processor. The results of an actual implementation on the Texas Instruments TMS320DM320 processor are provided to illustrate the effectiveness of this algorithm in identifying an illuminant as compared to the widely used gray-world auto white balancing algorithm.

Paper Details

Date Published: 15 February 2006
PDF: 9 pages
Proc. SPIE 6063, Real-Time Image Processing 2006, 606308 (15 February 2006); doi: 10.1117/12.641946
Show Author Affiliations
N. Kehtarnavaz, Univ. of Texas at Dallas (United States)
N. Kim, Univ. of Texas at Dallas (United States)
M. Gamadia, Univ. of Texas at Dallas (United States)

Published in SPIE Proceedings Vol. 6063:
Real-Time Image Processing 2006
Nasser Kehtarnavaz; Phillip A. Laplante, Editor(s)

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