Computational Inexpensive Two Step Auto White Balance Method

摘要

The chromaticity of an acquired image reconstructed from a Bayer pattern image sensor is heavily dependent on the scene illuminant and needs color corrections to match human visual perception. This paper presents a method to 'white balance' an image that is computationally inexpensive for hardware implementation, has reasonable accuracy without the need of storing the full image, and is aligned to the current technical development of the field. The proposed method introduces the use of a 2D chromaticity diagram of the image to extract information about the resultant scene reflectance. It assumes that the presence of low-saturated colors in the scene will increase the probability of retrieving accurate scene color information.