High dynamic range (HDR) scene reproduction has been widely used in consumer electronics, virtual reality, photography, and computer vision. An HDR scene reproduction algorithm based on hybrid mapping was proposed to address the problem of poor overall appearance and local details of an existing work. First, HDR scenes were transformed from the RGB to HSV color space, which converts the color information to hue, saturation, and luminance value components. Second, the luminance values were transformed into a logarithm domain using a special logarithm function, and an adaptive arctangent function was used to compress the global dynamic range, which then enables achieving good overall appearance. Then, the improved single-scale Retinex algorithm was applied to local detail adjustment, which enhanced the details of the bright and dark areas. Finally, the saturation component was adjusted, and the color information was restored from HSV to RGB color space. Ten types of HDR scenes were tested in the experiments, and the obtained results were compared both subjectively and objectively. The experimental results demonstrate that the proposed method enables good visual appearance and preserves more details. Moreover, the proposed algorithm has a low computation cost. The proposed algorithm is better than five traditional methods and can produce desirable images in most HDR scenes.