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pro vyhledávání: '"Park, Gu Yong"'
There have been many image denoisers using deep neural networks, which outperform conventional model-based methods by large margins. Recently, self-supervised methods have attracted attention because constructing a large real noise dataset for superv
Externí odkaz:
http://arxiv.org/abs/2304.09507
Real-noise denoising is a challenging task because the statistics of real-noise do not follow the normal distribution, and they are also spatially and temporally changing. In order to cope with various and complex real-noise, we propose a well-genera
Externí odkaz:
http://arxiv.org/abs/2002.11244
Recently, many convolutional neural networks for single image super-resolution (SISR) have been proposed, which focus on reconstructing the high-resolution images in terms of objective distortion measures. However, the networks trained with objective
Externí odkaz:
http://arxiv.org/abs/1911.03624
Autor:
Kemao, Qian, Hayase, Kazuya, Lau, Phooi Yee, Lie, Wen-Nung, Lee, Yung-Lyul, Srisuk, Sanun, Yu, Lu, Soh, Jae Woong, Park, Gu Yong, Cho, Nam Ik
Publikováno v:
Proceedings of SPIE; March 2019, Vol. 11049 Issue: 1 p1104908-1104908-6
