Deep Learning for Image Denoising: A Survey

Chunwei Tian; Yong Xu; Lunke Fei; Ke Yan

doi:10.1007/978-981-13-5841-8_59

Deep Learning for Image Denoising: A Survey

Chunwei Tian, Yong Xu^*, Lunke Fei, Ke Yan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

60 Citations (Scopus)

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.

Original language	English
Title of host publication	Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018
Editors	Bixia Sui, Jerry Chun-Wei Lin, Shih-Pang Tseng, Jeng-Shyang Pan
Publisher	Springer Verlag
Pages	563-572
Number of pages	10
ISBN (Print)	9789811358401
DOIs	https://doi.org/10.1007/978-981-13-5841-8_59
Publication status	Published - 2019
Externally published	Yes
Event	12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018 - Changzhou, China Duration: 14 Dec 2018 → 17 Dec 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	834
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018
Country/Territory	China
City	Changzhou
Period	14/12/18 → 17/12/18

Keywords

Convolutional neural networks
Deep learning
GPU
Image denoising

Access to Document

10.1007/978-981-13-5841-8_59

Cite this

Tian, C., Xu, Y., Fei, L., & Yan, K. (2019). Deep Learning for Image Denoising: A Survey. In B. Sui, J. C.-W. Lin, S.-P. Tseng, & J.-S. Pan (Eds.), Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018 (pp. 563-572). (Advances in Intelligent Systems and Computing; Vol. 834). Springer Verlag. https://doi.org/10.1007/978-981-13-5841-8_59

Tian, Chunwei ; Xu, Yong ; Fei, Lunke et al. / Deep Learning for Image Denoising : A Survey. Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. editor / Bixia Sui ; Jerry Chun-Wei Lin ; Shih-Pang Tseng ; Jeng-Shyang Pan. Springer Verlag, 2019. pp. 563-572 (Advances in Intelligent Systems and Computing).

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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",

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Tian, C, Xu, Y, Fei, L & Yan, K 2019, Deep Learning for Image Denoising: A Survey. in B Sui, JC-W Lin, S-P Tseng & J-S Pan (eds), Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. Advances in Intelligent Systems and Computing, vol. 834, Springer Verlag, pp. 563-572, 12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018, Changzhou, China, 14/12/18. https://doi.org/10.1007/978-981-13-5841-8_59

Deep Learning for Image Denoising: A Survey. / Tian, Chunwei; Xu, Yong; Fei, Lunke et al.
Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. ed. / Bixia Sui; Jerry Chun-Wei Lin; Shih-Pang Tseng; Jeng-Shyang Pan. Springer Verlag, 2019. p. 563-572 (Advances in Intelligent Systems and Computing; Vol. 834).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xu, Yong

AU - Fei, Lunke

AU - Yan, Ke

PY - 2019

Y1 - 2019

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AB - 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.

KW - Convolutional neural networks

KW - Deep learning

KW - GPU

KW - Image denoising

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U2 - 10.1007/978-981-13-5841-8_59

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SN - 9789811358401

T3 - Advances in Intelligent Systems and Computing

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BT - Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018

A2 - Sui, Bixia

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PB - Springer Verlag

Y2 - 14 December 2018 through 17 December 2018

ER -

Deep Learning for Image Denoising: A Survey

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