MergeNet: Single high dynamic range image reconstruction method

The high dynamic range (HDR) environment mapping could provide great dynamic range and irradiance contrast for improving the fidelity of Computer Graphics Rendering, however, the acquisition of HDR images is much harder for most scenarios. We propose the improved deep merger network (MergeNet) to reconstruct an HDR image from a single filtered low dynamic range (FLDR) image with the feature extraction ability of deep learning methods and the band transmission characteristics of optical filters. Qualitative and quantitative comparisons have been executed for our method and other similar ones with multiple evaluation indicators. Experimental results show that our MergeNet performs favorably against state-of-the-art HDR image reconstruction methods.