Visibility Detection Algorithm of Single Fog Image Based on the Ratio of Wavelength Residual Energy
Author(s) -
Zhixiang Chen,
Binna Ou
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5531706
Subject(s) - visibility , residual , pixel , rgb color model , wavelength , channel (broadcasting) , energy (signal processing) , artificial intelligence , image (mathematics) , computer science , computer vision , algorithm , mathematics , optics , physics , statistics , telecommunications
Different visibilities and different wavelength attenuations can cause color deviation problem in some dehazing algorithms. A visibility detection algorithm based on a single fog image is proposed. First, the visibility range of the image is preliminarily determined according to the transmissivity; then, the normalized differences between the residual energy ratios of different wavelengths of RGB channels are calculated, and the pixels with large gray deviation of a single channel are filtered to improve the calculation accuracy; finally, the image visibility detection value is calculated. The experimental results show that the proposed algorithm not only effectively reflects the fog image visibility but is also well suited for evaluating the effectiveness of the image defogging algorithms and the restoration degree of the defogging color difference.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom