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

Authors

Jyun-Yu Jhang
Chengjian LIN
Kuu-Young Young
Chin-Teng Lin

DOI

10.3906/elk-1805-92

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.

Keywords

Dehazing, transmission map, fuzzy theory, quadratic function, image restoration

First Page

3791

Last Page

3803

Recommended Citation

Jhang, Jyun-Yu; LIN, Chengjian; Young, Kuu-Young; and Lin, Chin-Teng (2019) "A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27: No. 5, Article 37. https://doi.org/10.3906/elk-1805-92
Available at: https://journals.tubitak.gov.tr/elektrik/vol27/iss5/37