Automatic white balance algorithm through the average equalization and threshold

Shen-Chuan Tai, Tzu Wen Liao, Yi Ying Chang, Chih Pei Yeh

研究成果: Conference contribution

16 引文 斯高帕斯(Scopus)

摘要

Automatic White Balance (AWB) is one of the important functions for digital cameras. The purpose is removing the color cast caused by the un-canonical illuminants where the image captured at. Images with color cast always lose the color contrast and variations, especially those with heavy color cast. For traditional white balance algorithms, the lost color contrast and variations would probably bring the incorrect color temperature predictions and the lack of contrast in the output images. In this paper, a new automatic white balance algorithm through the average equalization and threshold (AWBAAET) is proposed. The proposed approach keeps the assumption of gray world method (GW) and the wide color range of color histogram stretching algorithm (CHS) at the same time. In the simulation results, the proposed algorithm can meet the theory of GW, with similar averages on the R, G, and B channels. Also, it can enhance the color contrast and variances as CHS algorithm efficiently, without over stretching the color range and changing the character of the original image.

原文English
主出版物標題Proceedings - ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology
頁面571-576
頁數6
出版狀態Published - 2012 十月 8
事件8th International Conference on Information Science and Digital Content Technology, ICIDT 2012 - Jeju, Korea, Republic of
持續時間: 2012 六月 262012 六月 28

出版系列

名字Proceedings - ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology
3

Other

Other8th International Conference on Information Science and Digital Content Technology, ICIDT 2012
國家/地區Korea, Republic of
城市Jeju
期間12-06-2612-06-28

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 軟體

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