Computer Science ›› 2023, Vol. 50 ›› Issue (6A): 220600171-6.doi: 10.11896/jsjkx.220600171
• Image Processing & Multimedia Technology • Previous Articles Next Articles
WU Jufeng1,3, ZHAO Xungang1,3, ZHOU Qiang1,3, RAO Ning1,2
CLC Number:
[1]IBRAHIM H,KONG N S P.Brightness preserving dynamic histogram equalization for image contrast enhancement[J].IEEE Transactions on Consumer Electronics,2007,53(4):1752-1758. [2]ARICI T,DIKBAS S,ALTUNBASAK Y.A histogram modification framework and its application for image contrast enhancement[J].IEEE Transactions on Image Processing,2009,18(9):1921-1935. [3]RAHMAN S,RAHMAN M M,ABDULLAH-AL-WADUD M,et al.An adaptive gamma correction for image enhancement[J].EURASIP Journal on Image and Video Processing,2016,2016(1):1-13. [4]LAND E H.The retinex theory of color vision[J].ScientificAmerican,1977,237(6):108-129. [5]GUO X,LI Y,LING H.LIME:Low-light image enhancement via illumination map estimation[J].IEEE Transactions on Image Processing,2016,26(2):982-993. [6]WANG S,ZHENG J,HU H M,et al.Naturalness preserved enhancement algorithm for non-uniform illumination images[J].IEEE Transactions on Image Processing,2013,22(9):3538-3548. [7]LORE K G,AKINTAYO A,SARKAR S.LLNet:A deep autoencoder approach to natural low-light image enhancement[J].Pattern Recognition,2017,61:650-662. [8]LV F,LU F,WU J,et al.MBLLEN:Low-Light Image/Video Enhancement Using CNNs[C]//BMVC.2018:220. [9]WEI C,WANG W,YANG W,et al.Deep retinex decomposition for low-light enhancement[C]//British Machine Vision Confe-rence.2018. [10]WANG R,ZHANG Q,FU C W,et al.Underexposed photo enhancement using deep illumination estimation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2019:6849-6857. [11]ZHANG Y,ZHANG J,GUO X.Kindling the darkness:A practical low-light image enhancer[C]//Proceedings of the 27th ACM International Conference on Multimedia.2019:1632-1640. [12]ZHANG Y,GUO X,MA J,et al.Beyond Brightening Low-light Images[J].International Journal of Computer Vision,2021,129(4):1013-1037. [13]RONNEBERGER O,FISCHER P,BROX T.U-net:Convolu-tional networks for biomedical image segmentation[C]//International Conference on Medical image computing and computer-assisted intervention.Cham:Springer,2015:234-241. [14]WANG Y,CAO Y,ZHA Z J,et al.Progressive retinex:Mutually reinforced illumination-noise perception network for low-light image enhancement[C]//Proceedings of the 27th ACM International Conference on Multimedia.2019:2015-2023. [15]FAN M,WANG W,YANG W,et al.Integrating semantic segmentation and retinex model for low-light image enhancement[C]//Proceedings of the 28th ACM International Conference on Multimedia.2020:2317-2325. [16]RAO N,LU T,ZHOU Q,et al.Seeing in the Dark by Component-GAN[J].IEEE Signal Processing Letters,2021,28:1250-1254. [17]JIANG Y,GONG X,LIU D,et al.Enlightengan:Deep light enhancement without paired supervision[J].IEEE Transactions on Image Processing,2021,30:2340-2349. [18]GUO C,LI C,GUO J,et al.Zero-reference deep curve estimation for low-light image enhancement[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2020:1780-1789. [19]LI C,GUO C,LOY C C.Learning to enhance low-light image via zero-reference deep curve estimation[J].arXiv:2103.00860,2021. [20]YANG W,WANG S,FANG Y,et al.From fidelity to perceptual quality:A semi-supervised approach for low-light image enhancement[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2020:3063-3072. [21]PARK T,EFROS A A,ZHANG R,et al.Contrastive learning for unpaired image-to-image translation[C]//European Confe-rence on Computer Vision.Cham:Springer,2020:319-345. [22]HAN J,SHOEIBY M,PETERSSON L,et al.Dual Contrastive Learning for Unsupervised Image-to-Image Translation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.2021:746-755. [23]GUTMANN M,HYVÄRINEN A.Noise-contrastive estima-tion:A new estimation principle for unnormalized statistical models[C]//Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics.JMLR Workshop and Conference Proceedings,2010:297-304. [24]HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2016:770-778. [25]ISOLA P,ZHU J Y,ZHOU T,et al.Image-to-image translation with conditional adversarial networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2017:1125-1134. |
[1] | WANG Mingxia, XIONG Yun. Disease Diagnosis Prediction Algorithm Based on Contrastive Learning [J]. Computer Science, 2023, 50(7): 46-52. |
[2] | HE Chao, CHEN Jinjie, JIN Zhao, LEI Yinjie. Automatic Modulation Recognition Method Based on Multimodal Time-Frequency Feature Fusion [J]. Computer Science, 2023, 50(4): 226-232. |
[3] | ZHAO Ming-hua, ZHOU Tong-tong, DU Shuang-li, SHI Zheng-hao. Single Backlit Image Enhancement Based on Virtual Exposure Method [J]. Computer Science, 2022, 49(6A): 384-389. |
[4] | ZHAO Zheng-peng, LI Jun-gang, PU Yuan-yuan. Low-light Image Enhancement Based on Retinex Theory by Convolutional Neural Network [J]. Computer Science, 2022, 49(6): 199-209. |
[5] | YUAN De-sen, LIU Xiu-jing, WU Qing-bo, LI Hong-liang, MENG Fan-man, NGAN King-ngi, XU Lin-feng. Visual Question Answering Method Based on Counterfactual Thinking [J]. Computer Science, 2022, 49(12): 229-235. |
[6] | YANG Xiu-zhang, WU Shuai, XIA Huan, YU Xiao-min. Research on Shui Characters Extraction and Recognition Based on Adaptive Image Enhancement Technology [J]. Computer Science, 2021, 48(6A): 74-79. |
[7] | HUANG Xue-bing, WEI Jia-yi, SHEN Wen-yu, LING Li. MR Image Enhancement Based on Adaptive Weighted Duplicate Filtering and Homomorphic Filtering [J]. Computer Science, 2021, 48(6A): 21-27. |
[8] | LI Chang-xing, LEI Liu, ZHANG Xiao-lu. Brain CT and MRI Image Fusion Based on Morphological Image Enhancement and PCNN [J]. Computer Science, 2020, 47(10): 194-199. |
[9] | XU Min-min, KOU Guang-jie, MA Yun-yan, YUE Jun, JIA Shi-xiang, ZHANG Zhi-wang. Color Image Enhancement Algorithm Based on PCNN Internal Activities [J]. Computer Science, 2019, 46(6A): 259-262. |
[10] | YAO Zhe-wei, YANG Feng, HUANG Jing, LIU Ya-qin. Improved CycleGANs for Intravascular Ultrasound Image Enhancement [J]. Computer Science, 2019, 46(5): 221-227. |
[11] | YANG Xiu-zhang, XIA Huan, YU Xiao-min. Image Enhancement and Recognition Method Based on Shui-characters [J]. Computer Science, 2019, 46(11A): 324-328. |
[12] | LIU Yang, ZHANG Jie, ZHANG Hui. Study and Application of Improved Retinex Algorithm in Image Defogging [J]. Computer Science, 2018, 45(6A): 242-243. |
[13] | ZHOU Li-jun. Low-contrast Crack Extraction Method Based on Image Enhancement and Watershed Segmentation [J]. Computer Science, 2018, 45(6A): 259-261. |
[14] | ZHAO Jun-hui, WU Yu-feng, HU Kun-rong and PU Bin. Color Image Enhancement Algorithm Based on Lab Color Space and Tone Mapping [J]. Computer Science, 2018, 45(2): 297-300. |
[15] | ZHANG Xiang, WANG Wei, XIAO Di. Improved Image Enhancemengt Algorithm Based on Multi-scale Retinex with Chromaticity Preservation [J]. Computer Science, 2018, 45(10): 246-249. |
|