A Method to Improve Robustness of the Gray World Algorithm
GuangHua Chen, Xiaolong Zhang
Available Online November 2015.
- 10.2991/iccmcee-15.2015.46How to use a DOI?
- white balance, gray world algorithm, pixels weight, edge detection, image segmentation
The gray world algorithm is a popular white balance algorithm used for digital camera, but its effect is influenced by the wrong color temperature estimation result due to the incorrect assumption. To resolve this problem, an improved method of gray world algorithm is presented in this paper. Every patch in the picture is detected by edge detection, and weight value is set for each one according to the size of the patches. Then this weighted image is processed by the gray world algorithm to reduce the influence of big color patches in the image and promote the accuracy of color temperature estimate. The simulation results show that this algorithm can achieve more accurate white balance correction than other gray world algorithm.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - GuangHua Chen AU - Xiaolong Zhang PY - 2015/11 DA - 2015/11 TI - A Method to Improve Robustness of the Gray World Algorithm BT - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering PB - Atlantis Press SP - 243 EP - 248 SN - 2352-5401 UR - https://doi.org/10.2991/iccmcee-15.2015.46 DO - 10.2991/iccmcee-15.2015.46 ID - Chen2015/11 ER -