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Accurate estimation of transmission maps for image restoration based on polarimetric parameters and average intensity
Optik ( IF 1.914 ) Pub Date : 2020-01-16 , DOI: 10.1016/j.ijleo.2019.163535
Yongnan Lu; Mingfei Xu; Shuqiang Shu; Yunda Zheng; Xiaofei Zhang; Wei Huang

Haze limits visibility and degrades image contrast, and images lose color fidelity owing to the scattering and absorption of light caused by particles. Consequently, removing haze is critical for enhancing the image visibility and quality, with estimation of airlight and transmission map being critical steps. We propose a simple and convenient improved scheme, which is polarization-based method for dehazing. The method uses four polarization orientations (0º, 45º, 90º, 135º) to measure the Stokes vector, and obtained the degree of polarization (DOP) of the airlight by angle of polarization (AOP) in three channels. Subsequently, estimating the airlight at infinity by average total intensity and re-constructing a matrix to estimate the transmission maps. Experimental results demonstrate that a high-quality transmission map can be obtained, and this improved method can restore outdoor scene haze images with high quality and contrast. In addition, this method also proved to be useful for enhancing color saturation and restoring color fidelity.
更新日期:2020-01-16

 

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