Single Image Dehazing Based on Weighted Dark Channel

Hong Kyu Shin; Joon Yeon Kim; Han Kyu Lee; Sung Jea Ko

doi:10.1109/ICCE.2019.8662091

Single Image Dehazing Based on Weighted Dark Channel

Hong Kyu Shin, Joon Yeon Kim, Han Kyu Lee, Sung Jea Ko

School of Electrical Engineering

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

4 Citations (Scopus)

Abstract

Most single image dehazing methods are based on the dark channel prior. However, since the use of the dark channel prior results in halo artifacts, these conventional dehazing methods employ computationally complex post-refinement processes to eliminate the halo artifacts. In this paper, we propose a single image dehazing method using a weighted dark channel that does not require any post-refinement process. Unlike the conventional dark channel obtained by selecting the minimum intensity value in the local patch, the weighted dark channel is generated by considering the color similarity and spatial distance in the local patch. Experimental results show that the proposed method does not only remove the haze effectively, but also prevent the halo artifacts.

Original language	English
Title of host publication	2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538679104
DOIs	https://doi.org/10.1109/ICCE.2019.8662091
Publication status	Published - 2019 Mar 6
Event	2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States Duration: 2019 Jan 11 → 2019 Jan 13

Publication series

Name	2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference	2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Country/Territory	United States
City	Las Vegas
Period	19/1/11 → 19/1/13

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2017-0-00250, Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis)

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Media Technology
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2019.8662091

Cite this

Shin, H. K., Kim, J. Y., Lee, H. K., & Ko, S. J. (2019). Single Image Dehazing Based on Weighted Dark Channel. In 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 Article 8662091 (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2019.8662091

Single Image Dehazing Based on Weighted Dark Channel. / Shin, Hong Kyu; Kim, Joon Yeon; Lee, Han Kyu et al.
2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8662091 (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

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

Shin, HK, Kim, JY, Lee, HK & Ko, SJ 2019, Single Image Dehazing Based on Weighted Dark Channel. in 2019 IEEE International Conference on Consumer Electronics, ICCE 2019., 8662091, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Las Vegas, United States, 19/1/11. https://doi.org/10.1109/ICCE.2019.8662091

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title = "Single Image Dehazing Based on Weighted Dark Channel",

abstract = "Most single image dehazing methods are based on the dark channel prior. However, since the use of the dark channel prior results in halo artifacts, these conventional dehazing methods employ computationally complex post-refinement processes to eliminate the halo artifacts. In this paper, we propose a single image dehazing method using a weighted dark channel that does not require any post-refinement process. Unlike the conventional dark channel obtained by selecting the minimum intensity value in the local patch, the weighted dark channel is generated by considering the color similarity and spatial distance in the local patch. Experimental results show that the proposed method does not only remove the haze effectively, but also prevent the halo artifacts.",

author = "Shin, {Hong Kyu} and Kim, {Joon Yeon} and Lee, {Han Kyu} and Ko, {Sung Jea}",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2017-0-00250, Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis) Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 ; Conference date: 11-01-2019 Through 13-01-2019",

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doi = "10.1109/ICCE.2019.8662091",

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N2 - Most single image dehazing methods are based on the dark channel prior. However, since the use of the dark channel prior results in halo artifacts, these conventional dehazing methods employ computationally complex post-refinement processes to eliminate the halo artifacts. In this paper, we propose a single image dehazing method using a weighted dark channel that does not require any post-refinement process. Unlike the conventional dark channel obtained by selecting the minimum intensity value in the local patch, the weighted dark channel is generated by considering the color similarity and spatial distance in the local patch. Experimental results show that the proposed method does not only remove the haze effectively, but also prevent the halo artifacts.

AB - Most single image dehazing methods are based on the dark channel prior. However, since the use of the dark channel prior results in halo artifacts, these conventional dehazing methods employ computationally complex post-refinement processes to eliminate the halo artifacts. In this paper, we propose a single image dehazing method using a weighted dark channel that does not require any post-refinement process. Unlike the conventional dark channel obtained by selecting the minimum intensity value in the local patch, the weighted dark channel is generated by considering the color similarity and spatial distance in the local patch. Experimental results show that the proposed method does not only remove the haze effectively, but also prevent the halo artifacts.

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M3 - Conference contribution

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Single Image Dehazing Based on Weighted Dark Channel

Abstract

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