Automatic white balancing is one of the key essential image pre-processing components in consumer digital still cameras, and it can highly improve the final image quality of the captured image. A novel automatic white balancing algorithm based on the adjacent channels adjustment in the RGB domain using both luminance information and standard deviation of RGB components of the precaptured image is proposed. A light source model for evaluating different automatic white balancing methods is also described. The simulation results show that the proposed method can improve the final image quality of the captured image.