Optimized contrast enhancement for real-time image and video dehazing

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

Research output: Contribution to journalArticle

226 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 languageEnglish
Pages (from-to)410-425
Number of pages16
JournalJournal of Visual Communication and Image Representation
Volume24
Issue number3
DOIs
Publication statusPublished - 2013 Mar 15

Fingerprint

Cost functions
Flickering
Pixels

Keywords

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

ASJC Scopus subject areas

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

Cite this

Optimized contrast enhancement for real-time image and video dehazing. / Kim, Jin Hwan; Jang, Won Dong; Sim, Jae Young; Kim, Chang-Su.

In: Journal of Visual Communication and Image Representation, Vol. 24, No. 3, 15.03.2013, p. 410-425.

Research output: Contribution to journalArticle

Kim, Jin Hwan ; Jang, Won Dong ; Sim, Jae Young ; Kim, Chang-Su. / Optimized contrast enhancement for real-time image and video dehazing. In: Journal of Visual Communication and Image Representation. 2013 ; Vol. 24, No. 3. pp. 410-425.
@article{18ab994797e64300bc6b5ccefb0d3b10,
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",
year = "2013",
month = "3",
day = "15",
doi = "10.1016/j.jvcir.2013.02.004",
language = "English",
volume = "24",
pages = "410--425",
journal = "Journal of Visual Communication and Image Representation",
issn = "1047-3203",
publisher = "Academic Press Inc.",
number = "3",

}

TY - JOUR

T1 - Optimized contrast enhancement for real-time image and video dehazing

AU - Kim, Jin Hwan

AU - Jang, Won Dong

AU - Sim, Jae Young

AU - Kim, Chang-Su

PY - 2013/3/15

Y1 - 2013/3/15

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

KW - Optimized dehazing

KW - Temporal coherence

KW - Video dehazing

UR - http://www.scopus.com/inward/record.url?scp=84874823575&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874823575&partnerID=8YFLogxK

U2 - 10.1016/j.jvcir.2013.02.004

DO - 10.1016/j.jvcir.2013.02.004

M3 - Article

AN - SCOPUS:84874823575

VL - 24

SP - 410

EP - 425

JO - Journal of Visual Communication and Image Representation

JF - Journal of Visual Communication and Image Representation

SN - 1047-3203

IS - 3

ER -