Automatic White Balance of Digital Camera Based on Global Probability Distribution

Hui Nan Guo; Jian Zhong Cao

doi:10.4028/www.scientific.net/AMR.433-440.5443

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Automatic White Balance of Digital Camera Based on...

Automatic White Balance of Digital Camera Based on Global Probability Distribution

Abstract:

The white balance is an important parameter of digital camera which makes a great impact on the application of digital cameras. However, due to the limitations of hardware of digital camera, the output image of digital camera cannot restore true colors of the objects under the different light sources conditions. And existing automatic white balance (AWB) algorithms have many application restrictions, particularly the single color image, the algorithms always failure to adjust. To solve this problem, this paper proposes an optimized algorithm based on the gray world assumption and HSI color model. According to the R, G and B color components probability distribution, the algorithm adjusts the image by using the difference value of color. Experimental results show that our algorithm can adjust images in complex situations; meanwhile these confirm that this method is not only effective, but also has the advantage of easy realization.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5443-5447

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5443

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Online since:

January 2012

Authors:

Hui Nan Guo, Jian Zhong Cao

Keywords:

AWB, Color Temperature, Difference Value, Global Probability Distribution

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