Paper
15 February 2006 Real-time auto white balancing using DWT-based multi-scale clustering
Author Affiliations +
Proceedings Volume 6063, Real-Time Image Processing 2006; 606308 (2006) https://doi.org/10.1117/12.641946
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Kehtarnavaz, N. Kim, and M. Gamadia "Real-time auto white balancing using DWT-based multi-scale clustering", Proc. SPIE 6063, Real-Time Image Processing 2006, 606308 (15 February 2006); https://doi.org/10.1117/12.641946
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Discrete wavelet transforms

Digital signal processing

Digital cameras

Cameras

Video

Wavelets

Algorithm development

Back to Top