@inproceedings{3545b3e20803479ebe21dde2f6cd300f,
title = "Regional Weighted Generative Adversarial Network for LDR to HDR Image Conversion",
abstract = "For the image conversion from low dynamic range images to high dynamic range images, we considered the possibility of using the Generative Adversarial Network (GAN) as one of the deep neural network methods. Deep learning requires a lot of data before building a module, but once creation is done, it is convenient to use it. In this paper, we proposed a weighting map for a local luminance based learning to reconstruct locally tone-mapped images.",
keywords = "Cycle GAN, HDR, Image Conversion, Weighted loss function",
author = "Jung, \{Sung Woon\} and Son, \{Dong Min\} and Kwon, \{Hyuk Ju\} and Lee, \{Sung Hak\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 ; Conference date: 19-02-2020 Through 21-02-2020",
year = "2020",
month = feb,
doi = "10.1109/ICAIIC48513.2020.9064984",
language = "English",
series = "2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "697--700",
booktitle = "2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020",
address = "United States",
}