Optimization of Single Image Imaging At Night
DOI: 10.23977/jipta.2022.050103 | Downloads: 7 | Views: 742
Author(s)
Feiyu Liu 1
Affiliation(s)
1 Nanjing Normal University Zhongbei College, Danyang City, Jiangsu Province, 212300, China
Corresponding Author
Feiyu LiuABSTRACT
Usually, the influence of external factors will be greater when acquiring images. For example, capturing images in rain, fog and low light conditions will result in low definition, low signal-to-noise ratio and low illumination of image processing. This will affect our visual experience and the performance of computer algorithms. In this paper, some existing algorithms are studied and verified, and the experimental results are compared.Finally, It is concluded that LIME algorithm is simple and efficient, and image processing can achieve better effect.
KEYWORDS
Night image processing, Infrared imaging, Gray-square, Wiener filtering, LimeCITE THIS PAPER
Feiyu Liu, Optimization of Single Image Imaging At Night. Journal of Image Processing Theory and Applications (2022) Vol. 5: 15-20. DOI: http://dx.doi.org/10.23977/jipta.2022.050103.
REFERENCES
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