Ms. Yuan Wang Profile

Yuan Wang

at Zhejiang Univ

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Proceedings Article | 10 January 2018 Paper

A robust embedded vision system feasible white balance algorithm

Yuan Wang, Feihong Yu

Proceedings Volume 10616, 1061607 (2018) https://doi.org/10.1117/12.2287363

KEYWORDS: Iterative methods, Image processing, Embedded systems, RGB color model, Imaging systems, Cameras, Color image processing

Read Abstract +

White balance is a very important part of the color image processing pipeline. In order to meet the need of efficiency and accuracy in embedded machine vision processing system, an efficient and robust white balance algorithm combining several classical ones is proposed. The proposed algorithm mainly has three parts. Firstly, in order to guarantee higher efficiency, an initial parameter calculated from the statistics of R, G and B components from raw data is used to initialize the following iterative method. After that, the bilinear interpolation algorithm is utilized to implement demosaicing procedure. Finally, an adaptive step adjustable scheme is introduced to ensure the controllability and robustness of the algorithm. In order to verify the proposed algorithm’s performance on embedded vision system, a smart camera based on IMX6 DualLite, IMX291 and XC6130 is designed. Extensive experiments on a large amount of images under different color temperatures and exposure conditions illustrate that the proposed white balance algorithm avoids color deviation problem effectively, achieves a good balance between efficiency and quality, and is suitable for embedded machine vision processing system.

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