Academic Journal of Computing & Information Science, 2023, 6(2); doi: 10.25236/AJCIS.2023.060213.
Jiahui Yang1, Dengjie Deng2
1College of Information Science and Engineering, Shandong Agricultural University, Taian, 271001, China
2Chongqing Metropolitan College of Science and Technology, Chongqing, 402160, China
Low-brightness image enhancement is a challenging and difficult task. Photos taken under dark conditions often have poor visual quality. In order to solve the problems of low contrast and high noise in low illumination images, this paper uses deep illumination network technology to analyze nighttime street scene images taken under low illumination conditions. Different from the traditional method, this method regards weak light enhancement as a residual learning problem on the basis of deep learning, that is, the residual between estimates. The experimental results show that the PSNR of the algorithm we use is 20.63567452, and the SSIM is 0.2153426. The algorithm not only improves the brightness of the low-light image, but also improves the color depth and contrast. In the objective evaluation index, it has better low-light enhancement effect.
Low light enhancement; DLN; Retinex; CNN
Jiahui Yang, Dengjie Deng. Research on Brightness Enhancement of Street View Data Set Using DLN. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 2: 100-103. https://doi.org/10.25236/AJCIS.2023.060213.
 Liu Weihua, Xue Yansong, Yi Chen, Wang Fuping. Low-light image enhancement algorithm combining multi-scale deep learning networks and Retinex theory [J/OL]. Signal processing: 1-12 [2022-11-28]
 Zhang Rongrong, Min Gang, Luo Hata, Ye Huirong, Shu Zhong. Face Recognition Algorithm Based on Deep Neural Networks Model Introducing Image Denoising Processing Mechanism [J]. Digital Printing, 2022 (05): 26-36. DOI: 10.19370/j.cnki.cn10-1304/ts. 2022.05.003
 Ma Jianhong, Wang Xiyao, Chen Yongxia, Lin Nan. A Review of Research on Image and Point Cloud Fusion Methods in Automatic Driving [J]. Journal of Zhengzhou University (Science Edition), 2022-54 (06): 24-33. DOI: 10.13,705/j.issn.1671-6841.2,022,102
 Guo Yanxia, Jin Yong, Tang Hong, Peng Jinzhi. Multimodal Emotion Recognition Based on Dynamic Convolution and Residual Gating [J/OL]. Computer Engineering: 1-9 [2022-11-28]. DOI: 10.19678/j.issn.1000-3428.0064965
 Wang Y, Cao Y, Zha Z J, Zhang J, Xiong Z W,Zhang W and Wu F.2019b. Progressive retinex: mutually reinforced illumination-noise perception network for low-light image enhancement// Processings of the 27th ACM International Conference on Multimedia. Nice, France: ACM: 2015-2023 [DOI: 10. 1145/ 3343031. 3350983]
 Ren W Q, Liu S F, Ma L, Xu Q Q, Xu X Y, Cao X C, Du J P and Yang M H.2019b.Low-light image enhancement via a deep hybrid network.IEEE Transactions on Image Processing, 28(9): 4364-4375 [DOI: 10.1109/TIP.2019.2910412]