Approximate solution to optimized contrast enhancement for hazy image

Jin Hwan Kim, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.

Original languageEnglish
Title of host publicationProceedings of the International Symposium on Consumer Electronics, ISCE
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
DOIs
Publication statusPublished - 2014 Jan 1
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 2014 Jun 222014 Jun 25

Other

Other18th IEEE International Symposium on Consumer Electronics, ISCE 2014
CountryKorea, Republic of
CityJeju
Period14/6/2214/6/25

Fingerprint

Cost functions
Logistics
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kim, J. H., & Kim, C-S. (2014). Approximate solution to optimized contrast enhancement for hazy image. In Proceedings of the International Symposium on Consumer Electronics, ISCE [6884426] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCE.2014.6884426

Approximate solution to optimized contrast enhancement for hazy image. / Kim, Jin Hwan; Kim, Chang-Su.

Proceedings of the International Symposium on Consumer Electronics, ISCE. Institute of Electrical and Electronics Engineers Inc., 2014. 6884426.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, JH & Kim, C-S 2014, Approximate solution to optimized contrast enhancement for hazy image. in Proceedings of the International Symposium on Consumer Electronics, ISCE., 6884426, Institute of Electrical and Electronics Engineers Inc., 18th IEEE International Symposium on Consumer Electronics, ISCE 2014, Jeju, Korea, Republic of, 14/6/22. https://doi.org/10.1109/ISCE.2014.6884426
Kim JH, Kim C-S. Approximate solution to optimized contrast enhancement for hazy image. In Proceedings of the International Symposium on Consumer Electronics, ISCE. Institute of Electrical and Electronics Engineers Inc. 2014. 6884426 https://doi.org/10.1109/ISCE.2014.6884426
Kim, Jin Hwan ; Kim, Chang-Su. / Approximate solution to optimized contrast enhancement for hazy image. Proceedings of the International Symposium on Consumer Electronics, ISCE. Institute of Electrical and Electronics Engineers Inc., 2014.
@inproceedings{9d2985c505a54386b64412f41cdc23ee,
title = "Approximate solution to optimized contrast enhancement for hazy image",
abstract = "An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.",
keywords = "contrast enhancement, Dehazing, image enhancement, logistic function",
author = "Kim, {Jin Hwan} and Chang-Su Kim",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/ISCE.2014.6884426",
language = "English",
isbn = "9781479945924",
booktitle = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Approximate solution to optimized contrast enhancement for hazy image

AU - Kim, Jin Hwan

AU - Kim, Chang-Su

PY - 2014/1/1

Y1 - 2014/1/1

N2 - An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.

AB - An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.

KW - contrast enhancement

KW - Dehazing

KW - image enhancement

KW - logistic function

UR - http://www.scopus.com/inward/record.url?scp=84907412481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907412481&partnerID=8YFLogxK

U2 - 10.1109/ISCE.2014.6884426

DO - 10.1109/ISCE.2014.6884426

M3 - Conference contribution

SN - 9781479945924

BT - Proceedings of the International Symposium on Consumer Electronics, ISCE

PB - Institute of Electrical and Electronics Engineers Inc.

ER -