Title :
Single image fog removal based on local extrema
Author :
Hongyu Zhao ; Chuangbai Xiao ; Jing Yu ; Xiujie Xu
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
Abstract :
Atmospheric conditions induced by suspended particles, such as fog and haze, severely alter the scene appearance. In this paper, we propose a novel defogging method based on the local extrema, aiming at improving the image visibility under foggy or hazy weather condition. The proposed method utilizes atmospheric scattering model to realize the fog removal. It applies the local extrema method to figure out three pyramid levels to estimate atmospheric veil, and manipulates the tone and contrast of details at different scales through multi-scale tone manipulation algorithm. The results on the experiments of comparison with traditional methods demonstrate that the proposed method can achieve more accurate restoration for the color and details, resulting in a great improvement in image visibility.
Keywords :
fog; image restoration; scattering; visibility; atmospheric conditions; atmospheric scattering model; atmospheric veil; color restoration; defogging method; detail restoration; foggy weather condition; hazy weather condition; image visibility; local extrema; multiscale tone manipulation algorithm; scene appearance; single image fog removal; suspended particles; Atmospheric modeling; Atmospheric waves; Estimation; Image color analysis; Image edge detection; Image restoration; Scattering; Defog; atmospheric scattering model; haze removal; local extrema;
Journal_Title :
Automatica Sinica, IEEE/CAA Journal of
DOI :
10.1109/JAS.2015.7081655