Open AccessImage defogging algorithm based on dark channel prior of adaptive weight
Author(s) -
Xingxing Li
Publication year - 2020
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 - 10.1088/1742-6596/1650/3/032067
Subject(s) - channel (broadcasting) , image (mathematics) , computer science , algorithm , simple (philosophy) , value (mathematics) , artificial intelligence , machine learning , telecommunications , philosophy , epistemology
At present, the selection of parameters based on the dark channel defogging algorithm is relatively simple, and it is difficult to adapt to the fog images in different environments. To solve this problem, this paper proposes an adaptive weight parameter defogging algorithm. In this paper, it is found that the weight parameter ω of demisting has a certain relationship with the atmospheric light value, and based on this relationship, the optimization of demisting effect is realized. In this paper, after the improvement of the original algorithm, the improved method is compared with other methods. The experiment shows that the visual effect of the image after defogging is more real and natural.