Hongying Zhang, Jindong Zhao. RetinexNet Low Illumination Image Enhancement Algorithm in HSV Space[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201504
- Laser & Optoelectronics Progress
- Vol. 57, Issue 20, 201504 (2020)
Fig. 1. Structure of RetinexNet algorithm
Fig. 2. Enhancement effect of the RetinexNet algorithm. (a) Low-light image; (b) enhanced image
Fig. 3. Flow chart of our algorithm
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
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 1. Objective evaluation results of different algorithms
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20