Open AccessResearch on Image Defogging Algorithms Based on Color Attenuation Prior
Author(s) -
Jialin Tang,
Zhongda Zhang,
Lihong Niu,
Yong Feng,
Binghua Su,
Shounan Lin
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2216/1/012080
Subject(s) - attenuation , computer science , range (aeronautics) , image (mathematics) , algorithm , artificial intelligence , computer vision , tree (set theory) , optimization algorithm , mathematics , mathematical optimization , optics , mathematical analysis , materials science , physics , composite material
As for the defogging algorithm of color attenuation prior, an optimization algorithm based on color attenuation prior is proposed to solve the problem of image blurring in high frequency area of close-up view. Firstly, by improving the scene depth estimation information, the nonlinear model about scene depth is re-established to find the appropriate scene depth. Second, binary tree search algorithm is used to find the optimal atmospheric light value, and finally, a certain range of parameters are adjusted to achieve model optimization. The experimental results show that the algorithm solves the problem of blurring the close-up area and improves the speed of the algorithm.