@inproceedings{5fea3085d0414cce9300965d72742faf,
title = "Deep Learning for Image Denoising: A Survey",
abstract = "Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep learning technique has received a great deal of attention and has been widely applied in the field of imaging processing. In this paper, we have an aim to completely review and summarize the deep learning technologies for image denoising in recent years. Moreover, we systematically analyze the conventional machine learning methods for image denoising. Finally, we point out some research directions for the deep learning technologies in image denoising.",
keywords = "Convolutional neural networks, Deep learning, GPU, Image denoising",
author = "Chunwei Tian and Yong Xu and Lunke Fei and Ke Yan",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018 ; Conference date: 14-12-2018 Through 17-12-2018",
year = "2019",
doi = "10.1007/978-981-13-5841-8_59",
language = "English",
isbn = "9789811358401",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "563--572",
editor = "Bixia Sui and Lin, {Jerry Chun-Wei} and Shih-Pang Tseng and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018",
address = "Germany",
}