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 | |
| 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 | United States |
| City | Las Vegas |
| Period | 19/1/11 → 19/1/13 |
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ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Media Technology
- Electrical and Electronic Engineering
Cite this
Single Image Dehazing Based on Weighted Dark Channel. / Shin, Hong Kyu; Kim, Joon Yeon; Lee, Han Kyu; Ko, Sung-Jea.
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
}
TY - GEN
T1 - Single Image Dehazing Based on Weighted Dark Channel
AU - Shin, Hong Kyu
AU - Kim, Joon Yeon
AU - Lee, Han Kyu
AU - Ko, Sung-Jea
PY - 2019/3/6
Y1 - 2019/3/6
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.
UR - http://www.scopus.com/inward/record.url?scp=85063809269&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063809269&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2019.8662091
DO - 10.1109/ICCE.2019.8662091
M3 - Conference contribution
AN - SCOPUS:85063809269
T3 - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
BT - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -