Automatic White Balancing by Using NN Module

This paper presents an automatic white balancing (AWB) technique achieved by a hybrid neural module. The neural module is composed of self-organizing map (SOM) neural network, quantum neural network (QNN), and von Kries chromatic adaptation. By this module, the illuminated effect of an image can be greatly eliminated and improved. To demonstrate the efficiency of the module proposed, the experiments executed by SOM and probabilistic neural network (PNN) are used to be a comparison. From the experimental results shown, the effect of illuminant has been improved effectively as compared with the works we done before.