@inproceedings{ae9c2239f46c4c9ab16e0dfdb70e396c,
title = "MergeNet: Single high dynamic range image reconstruction method",
abstract = "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.",
keywords = "Artificial augmented/virtual realities, HDR reconstruction, Inverse tone mapping",
author = "Bin Liang and Dongdong Weng and Ruikang Ju and Lulu Feng",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 6th International Conference on Multimedia Systems and Signal Processing, ICMSSP 2021 ; Conference date: 22-05-2021 Through 24-05-2021",
year = "2021",
month = may,
day = "22",
doi = "10.1145/3471261.3471266",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "9--14",
booktitle = "ICMSSP 2021 - 2021 6th International Conference on Multimedia Systems and Signal Processing",
}