Geodesic
A Novel Image Enhancement Method Using Retinex-based Illumination Map Weighted Guided Filtering
Computer Science and Information Systems, Tome 21 (2024) no. 4.

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Halo artifact, edge detail loss and noise amplification are the main problems in low illumination image enhancement, an image enhancement algorithm combining Retinex and illumination map weighted guided filtering is proposed. The traditional defogging physical models only enhance the images based on dark channels prior, resulting in different depths of field in local areas, and it can lead to some problems such as image overexposure and halo artifacts. To solve this problem, the method of combining light and dark channels is adopted to calculate the atmospheric light value and transmittance. For the problem that edge information is easily lost, the illumination gradient domain weighted guided filtering is utilized to improve the thinning transmittance. Experimental results with the proposed method have obvious improvement in denoising, halo elimination, brightness adjustment and edge preservation in the low-illumination image under different conditions.
Keywords: Image enhancement, Retinex, weighted guided filtering, dark channel 
@article{CSIS_2024_21_4_a27,
     author = {Su Chen and Dahai Li},
     title = {A {Novel} {Image} {Enhancement} {Method} {Using} {Retinex-based} {Illumination} {Map} {Weighted} {Guided} {Filtering}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {21},
     number = {4},
     year = {2024},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a27/}
}
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Su Chen; Dahai Li. A Novel Image Enhancement Method Using Retinex-based Illumination Map Weighted Guided Filtering. Computer Science and Information Systems, Tome 21 (2024) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a27/