Improved automatic white balance based on Otsu threshold

Automatic white balance algorithm is a method to solve the picture distortion under different illumination. However, most of algorithms do not perform well and the computation amount is large. This paper proposed an improved method by OTSU threshold, which quickly distinguishes the background and foreground and also improves the performance by applying Gray World Assumption (GW) under the condition of considering the weight of background and foreground.