In this paper, we propose an efficient and lightweight deep neural network, LW-HDRNET, which quickly and accurately reconstructs tone-mapped high dynamic range (HDR) images. The proposed network generates overexposed and underexposed images from a single LDR image and then reconstructs the tonemapped HDR image. Experimental results show that the performance is better than the existing methods and has up to 4,000 times fewer parameters.