Image Enhancement Algorithm and its Application in Image Defogging


Jun Cao, Journal of Information Processing Systems Vol. 19, No. 4, pp. 465-473, Aug. 2023  

https://doi.org/10.3745/JIPS.02.0200
Keywords: Atmospheric Scattering Physical Model, guided filtering, Histogram Equalization, Image Defogging, image enhancement
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Abstract

An image enhancement algorithm and image defogging method are studied in this paper. The formation of fog and the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalization method; then the additive white noise is removed by foggy image attenuation model, the atmospheric scattering physical model is constructed, the image detail characteristics are enhanced by image enhancement method, and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has a good defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noise ratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellent image defogging effect.


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Cite this article
[APA Style]
Cao, J. (2023). Image Enhancement Algorithm and its Application in Image Defogging. Journal of Information Processing Systems, 19(4), 465-473. DOI: 10.3745/JIPS.02.0200.

[IEEE Style]
J. Cao, "Image Enhancement Algorithm and its Application in Image Defogging," Journal of Information Processing Systems, vol. 19, no. 4, pp. 465-473, 2023. DOI: 10.3745/JIPS.02.0200.

[ACM Style]
Jun Cao. 2023. Image Enhancement Algorithm and its Application in Image Defogging. Journal of Information Processing Systems, 19, 4, (2023), 465-473. DOI: 10.3745/JIPS.02.0200.