A saturation-based image fusion method for static scenes

In this paper, we present a saturation-based image fusion method for static scenes, which is aimed at generating high-dynamic range images. A set of images of the same stationary scene with different exposure levels, such as, overexposed and underexposed images is blended together into one. The weighting factors, for blending the images, are dependent on the saturation values of the images. Higher saturation indicates more vivid colors. Thus, we assign a heavier weight to the pixels with higher saturation while lighter weights are used for those pixels whose saturations are lower. Our experimental results show that the proposed method can produce satisfactory results without adjusting any parameters at a low computational cost. Moreover, the output images are fairly free from the halo effect problem.