Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1410012(2023)
Low-Light Image Enhancement Algorithm Based on Multi-Scale Concat Convolutional Neural Network
Fig. 1. MCIEN model
Fig. 2. Example images in MIT-Adobe 5K dataset. (a) Low-light images; (b) normal images
Fig. 3. Enhanced results of the first group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
Fig. 4. Enhanced results of the second group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
Fig. 5. Enhanced results of the third group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
Fig. 6. Local amplification of the second group of enhanced images. (a) Local amplification of Fig.4(e), MBLLEN; (b) local amplification of Fig.4(h), MIRNet; (c) local amplification of Fig.4(k), proposed method
Fig. 7. Histogram comparison results of the first group of enhanced images. (a) Histogram of Fig.3(e), MBLLEN; (b) histogram of Fig.3(h), MIRNet; (c) histogram of Fig.3(k), proposed method
Fig. 8. Comparison of network model. (a) w/o SK; (b) one SK; (c) w/o CA
Fig. 9. Examples of enhanced image acquired under extreme conditions. (a) Sunrise; (b) Sun_en; (c) Mountain; (d) Moun_en
|
|
Get Citation
Copy Citation Text
Weiqiang Liu, Peng Zhao, Xiangying Song. Low-Light Image Enhancement Algorithm Based on Multi-Scale Concat Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410012
Category: Image Processing
Received: Jul. 29, 2022
Accepted: Sep. 13, 2022
Published Online: Jul. 17, 2023
The Author Email: Zhao Peng (zpxhh@163.com)