A simple saturation-based image fusion technique for static scenes

In this paper, we present a simple saturation-based image fusion technique 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 determined by 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 both visually and numerically at a low computational cost without adjusting any parameters. Moreover, the output images are fairly free from the halo effect problem.