NTIRE 2020 challenge on nonhomogeneous dehazing

Codruta O. Ancuti; Cosmin Ancuti; Florin Alexandru Vasluianu; Radu Timofte; Jing Liu; Haiyan Wu; Yuan Xie; Yanyun Qu; Lizhuang Ma; Ziling Huang; Qili Deng; Ju Chin Chao; Tsung Shan Yang; Peng Wen Chen; Po Min Hsu; Tzu Yi Liao; Chung En Sun; Pei Yuan Wu; Jeonghyeok Do; Munchurl Kim; Kareem Metwaly; Jongmin Park; Xuelu Li; Tiantong Guo; Vishal Monga; Mingzhao Yu; Venkateswararao Cherukuri; Shiue Yuan Chuang; Tsung Nan Lin; David Lee; Jerome Chang; Zhan Han Wang; Yu Bang Chang; Chang Hong Lin; Yu Dong; Hongyu Zhou; Xiangzhen Kong; Sourya Dipta Das; Saikat Dutta; Xuan Zhao; Bing Ouyang; Dennis Estrada; Meiqi Wang; Tianqi Su; Siyi Chen; Bangyong Sun; Vincent Whannou De Dravo; Zhe Yu; Pratik Narang; Aryan Mehra; Navaneeth Raghunath; Murari Mandal

doi:10.1109/CVPRW50498.2020.00253

NTIRE 2020 challenge on nonhomogeneous dehazing

Codruta O. Ancuti, Cosmin Ancuti, Florin Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju Chin Chao, Tsung Shan Yang, Peng Wen Chen, Po Min Hsu, Tzu Yi Liao, Chung En Sun, Pei Yuan Wu, Jeonghyeok Do, Munchurl KimKareem Metwaly, Jongmin Park, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue Yuan Chuang, Tsung Nan Lin, David Lee, Jerome Chang, Zhan Han Wang, Yu Bang Chang, Chang Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Whannou De Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal

Electrical Engineering

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

88 Scopus citations

Abstract

This paper reviews the NTIRE 2020 Challenge on Non-Homogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing.

Original language	English (US)
Title of host publication	Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Publisher	IEEE Computer Society
Pages	2029-2044
Number of pages	16
ISBN (Electronic)	9781728193601
DOIs	https://doi.org/10.1109/CVPRW50498.2020.00253
State	Published - Jun 2020
Event	2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 - Virtual, Online, United States Duration: Jun 14 2020 → Jun 19 2020

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2020-June
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Country/Territory	United States
City	Virtual, Online
Period	6/14/20 → 6/19/20

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPRW50498.2020.00253

Cite this

Ancuti, C. O., Ancuti, C., Vasluianu, F. A., Timofte, R., Liu, J., Wu, H., Xie, Y., Qu, Y., Ma, L., Huang, Z., Deng, Q., Chao, J. C., Yang, T. S., Chen, P. W., Hsu, P. M., Liao, T. Y., Sun, C. E., Wu, P. Y., Do, J., ... Mandal, M. (2020). NTIRE 2020 challenge on nonhomogeneous dehazing. In Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 (pp. 2029-2044). Article 9150828 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2020-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW50498.2020.00253

@inproceedings{acbbd7d470154425a3ab829e5ec6b1a1,

title = "NTIRE 2020 challenge on nonhomogeneous dehazing",

abstract = "This paper reviews the NTIRE 2020 Challenge on Non-Homogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing.",

author = "Ancuti, {Codruta O.} and Cosmin Ancuti and Vasluianu, {Florin Alexandru} and Radu Timofte and Jing Liu and Haiyan Wu and Yuan Xie and Yanyun Qu and Lizhuang Ma and Ziling Huang and Qili Deng and Chao, {Ju Chin} and Yang, {Tsung Shan} and Chen, {Peng Wen} and Hsu, {Po Min} and Liao, {Tzu Yi} and Sun, {Chung En} and Wu, {Pei Yuan} and Jeonghyeok Do and Munchurl Kim and Kareem Metwaly and Jongmin Park and Xuelu Li and Tiantong Guo and Vishal Monga and Mingzhao Yu and Venkateswararao Cherukuri and Chuang, {Shiue Yuan} and Lin, {Tsung Nan} and David Lee and Jerome Chang and Wang, {Zhan Han} and Chang, {Yu Bang} and Lin, {Chang Hong} and Yu Dong and Hongyu Zhou and Xiangzhen Kong and {Dipta Das}, Sourya and Saikat Dutta and Xuan Zhao and Bing Ouyang and Dennis Estrada and Meiqi Wang and Tianqi Su and Siyi Chen and Bangyong Sun and {Whannou De Dravo}, Vincent and Zhe Yu and Pratik Narang and Aryan Mehra and Navaneeth Raghunath and Murari Mandal",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 ; Conference date: 14-06-2020 Through 19-06-2020",

year = "2020",

month = jun,

doi = "10.1109/CVPRW50498.2020.00253",

language = "English (US)",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

pages = "2029--2044",

booktitle = "Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020",

address = "United States",

}

Ancuti, CO, Ancuti, C, Vasluianu, FA, Timofte, R, Liu, J, Wu, H, Xie, Y, Qu, Y, Ma, L, Huang, Z, Deng, Q, Chao, JC, Yang, TS, Chen, PW, Hsu, PM, Liao, TY, Sun, CE, Wu, PY, Do, J, Kim, M, Metwaly, K, Park, J, Li, X, Guo, T, Monga, V, Yu, M, Cherukuri, V, Chuang, SY, Lin, TN, Lee, D, Chang, J, Wang, ZH, Chang, YB, Lin, CH, Dong, Y, Zhou, H, Kong, X, Dipta Das, S, Dutta, S, Zhao, X, Ouyang, B, Estrada, D, Wang, M, Su, T, Chen, S, Sun, B, Whannou De Dravo, V, Yu, Z, Narang, P, Mehra, A, Raghunath, N & Mandal, M 2020, NTIRE 2020 challenge on nonhomogeneous dehazing. in Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020., 9150828, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2020-June, IEEE Computer Society, pp. 2029-2044, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, Virtual, Online, United States, 6/14/20. https://doi.org/10.1109/CVPRW50498.2020.00253

NTIRE 2020 challenge on nonhomogeneous dehazing. / Ancuti, Codruta O.; Ancuti, Cosmin; Vasluianu, Florin Alexandru et al.
Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society, 2020. p. 2029-2044 9150828 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2020-June).

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

TY - GEN

T1 - NTIRE 2020 challenge on nonhomogeneous dehazing

AU - Ancuti, Codruta O.

AU - Ancuti, Cosmin

AU - Vasluianu, Florin Alexandru

AU - Timofte, Radu

AU - Liu, Jing

AU - Wu, Haiyan

AU - Xie, Yuan

AU - Qu, Yanyun

AU - Ma, Lizhuang

AU - Huang, Ziling

AU - Deng, Qili

AU - Chao, Ju Chin

AU - Yang, Tsung Shan

AU - Chen, Peng Wen

AU - Hsu, Po Min

AU - Liao, Tzu Yi

AU - Sun, Chung En

AU - Wu, Pei Yuan

AU - Do, Jeonghyeok

AU - Kim, Munchurl

AU - Metwaly, Kareem

AU - Park, Jongmin

AU - Li, Xuelu

AU - Guo, Tiantong

AU - Monga, Vishal

AU - Yu, Mingzhao

AU - Cherukuri, Venkateswararao

AU - Chuang, Shiue Yuan

AU - Lin, Tsung Nan

AU - Lee, David

AU - Chang, Jerome

AU - Wang, Zhan Han

AU - Chang, Yu Bang

AU - Lin, Chang Hong

AU - Dong, Yu

AU - Zhou, Hongyu

AU - Kong, Xiangzhen

AU - Dipta Das, Sourya

AU - Dutta, Saikat

AU - Zhao, Xuan

AU - Ouyang, Bing

AU - Estrada, Dennis

AU - Wang, Meiqi

AU - Su, Tianqi

AU - Chen, Siyi

AU - Sun, Bangyong

AU - Whannou De Dravo, Vincent

AU - Yu, Zhe

AU - Narang, Pratik

AU - Mehra, Aryan

AU - Raghunath, Navaneeth

AU - Mandal, Murari

PY - 2020/6

Y1 - 2020/6

N2 - This paper reviews the NTIRE 2020 Challenge on Non-Homogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing.

AB - This paper reviews the NTIRE 2020 Challenge on Non-Homogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor. NH-Haze is the first realistic nonhomogeneous haze dataset that provides ground truth images. The nonhomogeneous haze has been produced using a professional haze generator that imitates the real conditions of haze scenes. 168 participants registered in the challenge and 27 teams competed in the final testing phase. The proposed solutions gauge the state-of-the-art in image dehazing.

UR - http://www.scopus.com/inward/record.url?scp=85090125267&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85090125267&partnerID=8YFLogxK

U2 - 10.1109/CVPRW50498.2020.00253

DO - 10.1109/CVPRW50498.2020.00253

M3 - Conference contribution

AN - SCOPUS:85090125267

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

SP - 2029

EP - 2044

BT - Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020

PB - IEEE Computer Society

T2 - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020

Y2 - 14 June 2020 through 19 June 2020

ER -

Ancuti CO, Ancuti C, Vasluianu FA, Timofte R, Liu J, Wu H et al. NTIRE 2020 challenge on nonhomogeneous dehazing. In Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020. IEEE Computer Society. 2020. p. 2029-2044. 9150828. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW50498.2020.00253

NTIRE 2020 challenge on nonhomogeneous dehazing

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