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P‐3.7: An Improved Dehazing Algorithm for Fog Image at Night.
- Source :
- SID Symposium Digest of Technical Papers; Oct2022 Supplement S1, Vol. 53, p688-691, 4p
- Publication Year :
- 2022
-
Abstract
- In order to solve the problem of lack of detail information and serious damage to the texture of the light source area when the dark channel prior dehazing algorithm processes fog images at night, this paper proposes a dehazing algorithm for nighttime fog images using the dark‐state point light source model. By introducing the dark state point light source model, the dark channel credibility weight factor and the pseudo dehazing image, combined with the nighttime image imaging model, the improved transmittance distribution is obtained, and the fog image at night is dehazed. The experimental results show that the image processed by the algorithm in this paper has little loss of texture details, high image definition, and the contrast between the light and dark of the image is better stretched, which can effectively dehaze the fog image at night. [ABSTRACT FROM AUTHOR]
- Subjects :
- LIGHT sources
ALGORITHMS
PROBLEM solving
FOG
Subjects
Details
- Language :
- English
- ISSN :
- 0097966X
- Volume :
- 53
- Database :
- Complementary Index
- Journal :
- SID Symposium Digest of Technical Papers
- Publication Type :
- Academic Journal
- Accession number :
- 159725178
- Full Text :
- https://doi.org/10.1002/sdtp.16063