In this paper we put forward a simple and efficient color mapping method to improve the sufficiency of nearly color night vision schemes based on global statistics.First

multi-band images are fused into the three components of an RGB image in terms of a simple linear fusion strategy based on the opponent property of ON-center OFF-surround reception in biological vision.Then a color clustering method is applied to produce color fields in the fused image.The corresponding fields in the reference image are obtained by locating the pixels in the fused image and finding the corresponding pixels in the reference image.Finally

the local mapping in the simplified Lab color space optimizes the match between the night vision and the reference images.Experiments have shown that the proposed scheme can yield a night vision image with a natural daytime color appearance while also improving the speed.