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Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition Conference paper
Chen, Genggeng, Dai, Kexin, Yang, Kangzhen, Hu, Tao, Chen, Xiangyu, Yang, Yongqing, Dong, Wei, Wu, Peng, Zhang, Yanning, Yan, Qingsen. Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition[C]:IEEE Computer Society, 2024, 6097-6107.
Authors:  Chen, Genggeng;  Dai, Kexin;  Yang, Kangzhen;  Hu, Tao;  Chen, Xiangyu; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Degradation  Computer Vision  Conferences  Feature Extraction  Image Restoration  Pattern Recognition  Image Enhancement  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[Scopus]:2 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer Conference paper
Weiwen Chen, Yingtie Lei, Shenghong Luo, Ziyang Zhou, Mingxian Li, Chi-Man Pun. UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Weiwen Chen;  Yingtie Lei;  Shenghong Luo;  Ziyang Zhou;  Mingxian Li; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/26
Semi-supervised Learning  Underwater Image Enhancement  Vision Transformer  
Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN Journal article
Liu, Xiangyong, Chen, Zhixin, Xu, Zhiqiang, Zheng, Ziwei, Ma, Fengshuang, Wang, Yunjie. Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN[J]. Journal of Marine Science and Engineering, 2024, 12(9), 1467.
Authors:  Liu, Xiangyong;  Chen, Zhixin;  Xu, Zhiqiang;  Zheng, Ziwei;  Ma, Fengshuang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.7/2.8 | Submit date：2024/10/10
Global Features  Image Enhancement  Local Features  Parallel Fusion  
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement Journal article
Li, Zi Nuo, Chen, Xu Hang, Guo, Shu Na, Wang, Shu Qiang, Pun, Chi Man. WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement[J]. Journal of Computer Science and Technology, 2024, 39(2), 336-345.
Authors:  Li, Zi Nuo;  Chen, Xu Hang;  Guo, Shu Na;  Wang, Shu Qiang;  Pun, Chi Man
Favorite | TC[Scopus]:4  IF:1.2/1.7 | Submit date：2024/07/04
Image Enhancement  Transformer  Wavelet Transform  
Unsupervised Lighting Reflectance Estimation for Robot Monitoring Under Poor Illuminance Journal article
Luo, Luqing, Chen, Xinyu, Yang, Jiangang, Liu, Jian, Yang, Zhi Xin. Unsupervised Lighting Reflectance Estimation for Robot Monitoring Under Poor Illuminance[J]. IEEE Sensors Journal, 2023, 23(21), 26235-26244.
Authors:  Luo, Luqing;  Chen, Xinyu;  Yang, Jiangang;  Liu, Jian;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.2 | Submit date：2023/12/04
Image Enhancement  Poor Illumination Detection  Retinex  Unsupervised Learning  Vision Understanding  
A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method Journal article
Dong, Yunxuan, Zhou, Binggui, Yang, Guanghua, Hou, Fen, Hu, Zheng, Ma, Shaodan. A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method[J]. NEUROCOMPUTING, 2023, 556, 126663.
Authors:  Dong, Yunxuan;  Zhou, Binggui;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.5 | Submit date：2023/08/30
Deep Learning  Feature Enhancement  Spatial Series To Image Series  Spatial–temporal Learning  Tourism Demand Forecasting  
Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition Journal article
Zhou, Mingliang, Leng, Hongyue, Fang, Bin, Xiang, Tao, Wei, Xuekai, Jia, Weijia. Low-light Image Enhancement via a Frequency-based Model with Structure and Texture Decomposition[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 19(6), 187.
Authors:  Zhou, Mingliang;  Leng, Hongyue;  Fang, Bin;  Xiang, Tao;  Wei, Xuekai; et al.
Favorite | TC[WOS]:5 TC[Scopus]:9  IF:5.2/4.9 | Submit date：2023/09/28
Denosing  Low-light Image Enhancement  Retinex Theory  
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement Journal article
Zhong,Guojin, Ding,Weiping, Chen,Long, Wang,Yingxu, Yu,Yu Feng. Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(4), 1113-1125.
Authors:  Zhong,Guojin;  Ding,Weiping;  Chen,Long;  Wang,Yingxu;  Yu,Yu Feng
Favorite | TC[WOS]:13 TC[Scopus]:16  IF:5.3/5.7 | Submit date：2023/08/03
Gan  Medical Image Enhancement  Attention  Multi-scale  Deep Semantic Feature  
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition Journal article
Wang, Jikun, Liang, Weixiang, Yang, Jiangang, Wang, Shizheng, Yang, Zhi Xin. An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition[J]. Computers in Industry, 2023, 147, 103862.
Authors:  Wang, Jikun;  Liang, Weixiang;  Yang, Jiangang;  Wang, Shizheng;  Yang, Zhi Xin
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.2/9.3 | Submit date：2023/02/28
Safety Monitoring Robot  Insufficient Illumination Condition  Image Enhancement  Image Denoise  Deep Learning