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Deep Learning for Image Denoising: A Survey

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Genetic and Evolutionary Computing (ICGEC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 834))

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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.

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Acknowledgements

This paper was supported in part by Shenzhen Municipal Science and Technology Innovation Council under Grant no. JCYJ20170811155725434, in part by the National Natural Science Foundation under Grant no. 61876051.

Author information

Authors and Affiliations

  1. Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, 518055, China

    Chunwei Tian, Yong Xu & Ke Yan

  2. Shenzhen Medical Biometrics Perception and Analysis Engineering Laboratory, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, 518055, China

    Chunwei Tian, Yong Xu & Ke Yan

  3. School of Computers, Guangdong University of Technology, Guangzhou, 510006, China

    Lunke Fei

Authors
  1. Chunwei Tian
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  2. Yong Xu
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  3. Lunke Fei
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  4. Ke Yan
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Corresponding author

Correspondence to Yong Xu .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Department of Computing, Mathematics, and Physics, Western Norway University of Applied Sciences, Bergen, China

    Jerry Chun-Wei Lin

  3. Changzhou College of Information Technology, Changzhou, Jiangsu, China

    Bixia Sui

  4. College of Smart Living and Management, Tajen University, Pingtung, Taiwan

    Shih-Pang Tseng

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Tian, C., Xu, Y., Fei, L., Yan, K. (2019). Deep Learning for Image Denoising: A Survey. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_59

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