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

ASJC Scopus subject areas

  • Engineering(all)

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  • 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