research-article

A Fast Defogging Image Recognition Algorithm Based on Bilateral Hybrid Filtering

Authors:

Xia LeiAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 17, Issue 2

Article No.: 42, Pages 1 - 16

https://doi.org/10.1145/3391297

Published: 21 April 2021 Publication History

Abstract

With the rapid advancement of video and image processing technologies in the Internet of Things, it is urgent to address the issues in real-time performance, clarity, and reliability of image recognition technology for a monitoring system in foggy weather conditions. In this work, a fast defogging image recognition algorithm is proposed based on bilateral hybrid filtering. First, the mathematical model based on bilateral hybrid filtering is established. The dark channel is used for filtering and denoising the defogging image. Next, a bilateral hybrid filtering method is proposed by using a combination of guided filtering and median filtering, as it can effectively improve the robustness and transmittance of defogging images. On this basis, the proposed algorithm dramatically decreases the computation complexity of defogging image recognition and reduces the image execution time. Experimental results show that the defogging effect and speed are promising, with the image recognition rate reaching to 98.8% after defogging.

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Cited By

Yang YJi SWang XZeng LZhan Y(2024)Generalized Welsch penalty for edge-aware image decompositionMultimedia Systems10.1007/s00530-024-01382-030:4Online publication date: 21-Jun-2024
https://dl.acm.org/doi/10.1007/s00530-024-01382-0
Yao HQin HWu QBi ZWang X(2023)A multi-expose fusion image dehazing based on scene depth informationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-022-02632-w39:10(4855-4867)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s00371-022-02632-w
Lv XHan DLi DXiao LChang C(2022)Network abnormal traffic detection method based on fusion of chord similarity and multiple loss encoderEURASIP Journal on Wireless Communications and Networking10.1186/s13638-022-02180-w2022:1Online publication date: 22-Oct-2022
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Index Terms

A Fast Defogging Image Recognition Algorithm Based on Bilateral Hybrid Filtering
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 17, Issue 2

May 2021

410 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3461621

Editor:
Alberto Del Bimbo
University of Firenze, Italy

Issue’s Table of Contents

Copyright © 2021 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2021

Revised: 01 October 2020

Online AM: 07 May 2020

Accepted: 01 March 2020

Received: 01 June 2019

Published in TOMM Volume 17, Issue 2

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Funding Sources

Scientifc Research Fund of the Hunan Provincial Education Department
Guangxi Key Laboratory of Crytography and Information Security
National Natural Science Foundation of China
Fujian Provincial Natural Science Foundation of China
Hunan Provincial Science & Technology Project Foundation
Start-Up Funds of Hunan Normal University
Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control

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Yao HQin HWu QBi ZWang X(2023)A multi-expose fusion image dehazing based on scene depth informationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-022-02632-w39:10(4855-4867)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s00371-022-02632-w
Lv XHan DLi DXiao LChang C(2022)Network abnormal traffic detection method based on fusion of chord similarity and multiple loss encoderEURASIP Journal on Wireless Communications and Networking10.1186/s13638-022-02180-w2022:1Online publication date: 22-Oct-2022
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