Optimized contrast enhancement for real-time image and video dehazing

Jin Hwan Kim; Won Dong Jang; Jae Young Sim; Chang-Su Kim

doi:10.1016/j.jvcir.2013.02.004

Optimized contrast enhancement for real-time image and video dehazing

Jin Hwan Kim
, Won Dong Jang
, Jae Young Sim
, Chang-Su Kim^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

538 Citations (Scopus)

Abstract

A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications.

Original language	English
Pages (from-to)	410-425
Number of pages	16
Journal	Journal of Visual Communication and Image Representation
Volume	24
Issue number	3
DOIs	https://doi.org/10.1016/j.jvcir.2013.02.004
Publication status	Published - 2013

Bibliographical note

Funding Information:
The work of J.-H. Kim, W.-D. Jang, and C.-S. Kim was supported partly by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012-011031), and partly by Basic Science Research Program through the NRF of Korea funded by the MEST (No. 2012-0000916). The work of J.-Y. Sim was supported by Basic Science Research Program through the NRF of Korea funded by the MEST (2010-0006595).

Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.

Keywords

Atmospheric light estimation
Contrast enhancement
Image dehazing
Image enhancement
Image restoration
Optimized dehazing
Temporal coherence
Video dehazing

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.jvcir.2013.02.004

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title = "Optimized contrast enhancement for real-time image and video dehazing",

abstract = "A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications.",

keywords = "Atmospheric light estimation, Contrast enhancement, Image dehazing, Image enhancement, Image restoration, Optimized dehazing, Temporal coherence, Video dehazing",

author = "Kim, \{Jin Hwan\} and Jang, \{Won Dong\} and Sim, \{Jae Young\} and Chang-Su Kim",

note = "Funding Information: The work of J.-H. Kim, W.-D. Jang, and C.-S. Kim was supported partly by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012-011031), and partly by Basic Science Research Program through the NRF of Korea funded by the MEST (No. 2012-0000916). The work of J.-Y. Sim was supported by Basic Science Research Program through the NRF of Korea funded by the MEST (2010-0006595). Copyright: Copyright 2013 Elsevier B.V., All rights reserved.",

year = "2013",

doi = "10.1016/j.jvcir.2013.02.004",

language = "English",

volume = "24",

pages = "410--425",

journal = "Journal of Visual Communication and Image Representation",

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AU - Kim, Jin Hwan

AU - Jang, Won Dong

AU - Sim, Jae Young

AU - Kim, Chang-Su

N1 - Funding Information: The work of J.-H. Kim, W.-D. Jang, and C.-S. Kim was supported partly by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2012-011031), and partly by Basic Science Research Program through the NRF of Korea funded by the MEST (No. 2012-0000916). The work of J.-Y. Sim was supported by Basic Science Research Program through the NRF of Korea funded by the MEST (2010-0006595). Copyright: Copyright 2013 Elsevier B.V., All rights reserved.

PY - 2013

Y1 - 2013

N2 - A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications.

AB - A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications.

KW - Atmospheric light estimation

KW - Contrast enhancement

KW - Image dehazing

KW - Image enhancement

KW - Image restoration

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KW - Temporal coherence

KW - Video dehazing

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JF - Journal of Visual Communication and Image Representation

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ER -

Optimized contrast enhancement for real-time image and video dehazing

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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