Underwater image denoising via AMP with renyi entropy

Jihua Lu; Lei Yan; Huan Wang; Lihui Feng; Xinbin Li

doi:10.1145/3366486.3366531

Underwater image denoising via AMP with renyi entropy

Jihua Lu, Lei Yan, Huan Wang, Lihui Feng, Xinbin Li

School of Integrated Circuits and Electronics

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

Abstract

Approximate message passing (AMP) in wavelet domain has been widely used in image denoising. However, the AMP-based denoising method is not robust to the 'shot noise', which is dynamic and short-period in the wavelet domain. First, a preprocessing filter is designed with Entropy to combat the restlessness of noise component in spatial domain. Then, a shot noise filter is designed via AMP with Renyi Entropy in wavelet domain. By using the two-step denoising method, we can 'individualized' denoise both in spatial and wavelet domains. The experimental results show that, with preprocessing filtering, our denoising method outperform the design via AMP with wavelet thresholds.

Original language	English
Title of host publication	Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2019
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450377409
DOIs	https://doi.org/10.1145/3366486.3366531
Publication status	Published - 23 Oct 2019
Event	2019 International Conference on Underwater Networks and Systems, WUWNET 2019 - Atlanta, United States Duration: 23 Oct 2019 → 25 Oct 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2019 International Conference on Underwater Networks and Systems, WUWNET 2019
Country/Territory	United States
City	Atlanta
Period	23/10/19 → 25/10/19

Keywords

Approximate message passing
Renyi Entropy
Shot noise
Underwater image denoising
Wavelet transform

Access to Document

10.1145/3366486.3366531

Cite this

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title = "Underwater image denoising via AMP with renyi entropy",

abstract = "Approximate message passing (AMP) in wavelet domain has been widely used in image denoising. However, the AMP-based denoising method is not robust to the 'shot noise', which is dynamic and short-period in the wavelet domain. First, a preprocessing filter is designed with Entropy to combat the restlessness of noise component in spatial domain. Then, a shot noise filter is designed via AMP with Renyi Entropy in wavelet domain. By using the two-step denoising method, we can 'individualized' denoise both in spatial and wavelet domains. The experimental results show that, with preprocessing filtering, our denoising method outperform the design via AMP with wavelet thresholds.",

keywords = "Approximate message passing, Renyi Entropy, Shot noise, Underwater image denoising, Wavelet transform",

author = "Jihua Lu and Lei Yan and Huan Wang and Lihui Feng and Xinbin Li",

note = "Publisher Copyright: {\textcopyright} 2019 Authors.; 2019 International Conference on Underwater Networks and Systems, WUWNET 2019 ; Conference date: 23-10-2019 Through 25-10-2019",

year = "2019",

month = oct,

day = "23",

doi = "10.1145/3366486.3366531",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2019",

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Lu, J, Yan, L, Wang, H, Feng, L & Li, X 2019, Underwater image denoising via AMP with renyi entropy. in Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2019., a6, ACM International Conference Proceeding Series, Association for Computing Machinery, 2019 International Conference on Underwater Networks and Systems, WUWNET 2019, Atlanta, United States, 23/10/19. https://doi.org/10.1145/3366486.3366531

Underwater image denoising via AMP with renyi entropy. / Lu, Jihua; Yan, Lei; Wang, Huan et al.
Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2019. Association for Computing Machinery, 2019. a6 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Underwater image denoising via AMP with renyi entropy

AU - Lu, Jihua

AU - Yan, Lei

AU - Wang, Huan

AU - Feng, Lihui

AU - Li, Xinbin

PY - 2019/10/23

Y1 - 2019/10/23

N2 - Approximate message passing (AMP) in wavelet domain has been widely used in image denoising. However, the AMP-based denoising method is not robust to the 'shot noise', which is dynamic and short-period in the wavelet domain. First, a preprocessing filter is designed with Entropy to combat the restlessness of noise component in spatial domain. Then, a shot noise filter is designed via AMP with Renyi Entropy in wavelet domain. By using the two-step denoising method, we can 'individualized' denoise both in spatial and wavelet domains. The experimental results show that, with preprocessing filtering, our denoising method outperform the design via AMP with wavelet thresholds.

AB - Approximate message passing (AMP) in wavelet domain has been widely used in image denoising. However, the AMP-based denoising method is not robust to the 'shot noise', which is dynamic and short-period in the wavelet domain. First, a preprocessing filter is designed with Entropy to combat the restlessness of noise component in spatial domain. Then, a shot noise filter is designed via AMP with Renyi Entropy in wavelet domain. By using the two-step denoising method, we can 'individualized' denoise both in spatial and wavelet domains. The experimental results show that, with preprocessing filtering, our denoising method outperform the design via AMP with wavelet thresholds.

KW - Approximate message passing

KW - Renyi Entropy

KW - Shot noise

KW - Underwater image denoising

KW - Wavelet transform

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T3 - ACM International Conference Proceeding Series

BT - Proceedings of the International Conference on Underwater Networks and Systems, WUWNET 2019

PB - Association for Computing Machinery

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Y2 - 23 October 2019 through 25 October 2019

ER -

Underwater image denoising via AMP with renyi entropy

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Conference

Keywords

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