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In recent years digital cameras have captured the camera market. Although the factors that consumer consider is the quality of the photographs produced. White balance is one of the methods used to improve the quality of the photographs. The basic white balance methods are, however powerless to handle all possible situations in the captured scene. In order to improve the white balance we divide this problem in three steps¡Vwhite object purification, white point detection, and white point adjustment. The proposed method basically solves the problem of detecting the white point very well. The experimental results show that the proposed method can achieve superior result in both objective and subjective evaluative terms. The complexity of the proposed system is acceptable. The propose method can be easily applied to digital cameras to obtain good results.

Keywords: white balance, white point, gray world assumption, perfect reflector assumption, color balance

Retrieve PDF document (200605_02.pdf)

Received January 1, 2005; accepted June 30, 2005.
Communicated by C. C. Chiang, H. Y. Liao and K. C. Fan.
^* This research was supported in part by the National Science Council of Taiwan, R.O.C., under grants No. NSC 92-2213-E-002-072, by the EeRise Corporation, EeVision Corporation, Machvision, Tekom Technologies, Jeilin Technology, IAC, ATM Electronic, Primax Electronics, Arima Computer, and Lite-on.