A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map

Jyun Yu Jhang, Cheng Jian Lin*, Kuu-Young Young, Chin Teng Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In photographs captured in outdoor environments, particles in the air cause light attenuation and degrade image quality. This effect is especially obvious in hazy environments. In this study, a fuzzy theory is proposed to estimate the transmission map of a single image. To overcome the problem of oversaturation in dehazed images, a quadratic-function-based method is proposed to refine the transmission map. In addition, the color vector of the atmospheric light is estimated using the top 1% of the brightest light area. Finally, the dehazed image is reconstructed using the transmission map and the estimated atmospheric light. Experimental results demonstrate that the proposed hybrid method performs better than the other existing methods in terms of color oversaturation, visibility, and quantitative evaluation.

Original languageEnglish
Pages (from-to)3791-3803
Number of pages13
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume27
Issue number5
DOIs
StatePublished - 1 Jan 2019

Keywords

  • Dehazing
  • Fuzzy theory
  • Image restoration
  • Quadratic function
  • Transmission map

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