Laser & Optoelectronics Progress, Volume. 57, Issue 20, 201504(2020)
RetinexNet Low Illumination Image Enhancement Algorithm in HSV Space
Fig. 2. Enhancement effect of the RetinexNet algorithm. (a) Low-light image; (b) enhanced image
Fig. 4. Decomposition of V component image. (a) Image of low illumination; (b) image of V component; (c) incident light image of V component; (d) reflectivity image of V component
Fig. 5. Enhancement effect of different algorithms. (a) Original image; (b) HE algorithm; (c) LIME algorithm; (d) MSRCR algorithm; (e) RetinexNet algorithm; (f) our algorithm
Fig. 6. Enlarged view of partial pairs of different algorithms. (a) Original image; (b) HE algorithm; (c) LIME algorithm; (d) MSRCR algorithm; (e) RetinexNet algorithm; (f) our algorithm
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Hongying Zhang, Jindong Zhao. RetinexNet Low Illumination Image Enhancement Algorithm in HSV Space[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201504
Category: Machine Vision
Received: Dec. 10, 2019
Accepted: Feb. 25, 2020
Published Online: Oct. 17, 2020
The Author Email: Hongying Zhang (carole_zhang0716@163.com)