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

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

63 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018
编辑	Bixia Sui, Jerry Chun-Wei Lin, Shih-Pang Tseng, Jeng-Shyang Pan
出版商	Springer Verlag
页	563-572
页数	10
ISBN（印刷版）	9789811358401
DOI	https://doi.org/10.1007/978-981-13-5841-8_59
出版状态	已出版 - 2019
已对外发布	是
活动	12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018 - Changzhou, 中国期限: 14 12月 2018 → 17 12月 2018

出版系列

姓名	Advances in Intelligent Systems and Computing
卷	834
ISSN（印刷版）	2194-5357
ISSN（电子版）	2194-5365

会议

会议	12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018
国家/地区	中国
市	Changzhou
时期	14/12/18 → 17/12/18

访问文件

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

其它文件与链接

链接到 Scopus 的出版物

引用此

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

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

@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",

}

Tian, C, Xu, Y, Fei, L & Yan, K 2019, Deep Learning for Image Denoising: A Survey. 在 B Sui, JC-W Lin, S-P Tseng & J-S Pan (编辑), Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. Advances in Intelligent Systems and Computing, 卷 834, Springer Verlag, 页码 563-572, 12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018, Changzhou, 中国, 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 等.
Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. 编辑 / Bixia Sui; Jerry Chun-Wei Lin; Shih-Pang Tseng; Jeng-Shyang Pan. Springer Verlag, 2019. 页码 563-572 (Advances in Intelligent Systems and Computing; 卷 834).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Deep Learning for Image Denoising

T2 - 12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018

AU - Tian, Chunwei

AU - Xu, Yong

AU - Fei, Lunke

AU - Yan, Ke

PY - 2019

Y1 - 2019

N2 - 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.

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

UR - http://www.scopus.com/inward/record.url?scp=85066039477&partnerID=8YFLogxK

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

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

M3 - Conference contribution

AN - SCOPUS:85066039477

SN - 9789811358401

T3 - Advances in Intelligent Systems and Computing

SP - 563

EP - 572

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

A2 - Sui, Bixia

A2 - Lin, Jerry Chun-Wei

A2 - Tseng, Shih-Pang

A2 - Pan, Jeng-Shyang

PB - Springer Verlag

Y2 - 14 December 2018 through 17 December 2018

ER -

Tian C, Xu Y, Fei L, Yan K. Deep Learning for Image Denoising: A Survey. 在 Sui B, Lin JCW, Tseng SP, Pan JS, 编辑, Genetic and Evolutionary Computing - Proceedings of the 12th International Conference on Genetic and Evolutionary Computing, 2018. Springer Verlag. 2019. 页码 563-572. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-13-5841-8_59

Deep Learning for Image Denoising: A Survey

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