Artykuły w czasopismach na temat „IMAGE DEHAZING”
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Yeole, Aditya. "Satellite Image Dehazing". International Journal for Research in Applied Science and Engineering Technology 11, nr 5 (31.05.2023): 5184–92. http://dx.doi.org/10.22214/ijraset.2023.52728.
Pełny tekst źródłaXu, Jun, Zi-Xuan Chen, Hao Luo i Zhe-Ming Lu. "An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network". Sensors 23, nr 1 (21.12.2022): 43. http://dx.doi.org/10.3390/s23010043.
Pełny tekst źródłaMa, Shaojin, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li i Huaiguang Guan. "Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion". Advances in Multimedia 2023 (15.05.2023): 1–10. http://dx.doi.org/10.1155/2023/8891239.
Pełny tekst źródłaWei, Jianchong, Yi Wu, Liang Chen, Kunping Yang i Renbao Lian. "Zero-Shot Remote Sensing Image Dehazing Based on a Re-Degradation Haze Imaging Model". Remote Sensing 14, nr 22 (13.11.2022): 5737. http://dx.doi.org/10.3390/rs14225737.
Pełny tekst źródłaDong, Weida, Chunyan Wang, Hao Sun, Yunjie Teng i Xiping Xu. "Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing". Sensors 23, nr 19 (27.09.2023): 8102. http://dx.doi.org/10.3390/s23198102.
Pełny tekst źródłaSun, Wei, Jianli Wu i Haroon Rashid. "Image Enhancement Algorithm of Foggy Sky with Sky based on Sky Segmentation". Journal of Physics: Conference Series 2560, nr 1 (1.08.2023): 012011. http://dx.doi.org/10.1088/1742-6596/2560/1/012011.
Pełny tekst źródłaAn, Shunmin, Xixia Huang, Linling Wang, Zhangjing Zheng i Le Wang. "Unsupervised water scene dehazing network using multiple scattering model". PLOS ONE 16, nr 6 (28.06.2021): e0253214. http://dx.doi.org/10.1371/journal.pone.0253214.
Pełny tekst źródłaYang, Yuanbo, Qunbo Lv, Baoyu Zhu, Xuefu Sui, Yu Zhang i Zheng Tan. "One-Sided Unsupervised Image Dehazing Network Based on Feature Fusion and Multi-Scale Skip Connection". Applied Sciences 12, nr 23 (2.12.2022): 12366. http://dx.doi.org/10.3390/app122312366.
Pełny tekst źródłaHan, Wensheng, Hong Zhu, Chenghui Qi, Jingsi Li i Dengyin Zhang. "High-Resolution Representations Network for Single Image Dehazing". Sensors 22, nr 6 (15.03.2022): 2257. http://dx.doi.org/10.3390/s22062257.
Pełny tekst źródłaTang, Yunqing, Yin Xiang i Guangfeng Chen. "A Nighttime and Daytime Single-Image Dehazing Method". Applied Sciences 13, nr 1 (25.12.2022): 255. http://dx.doi.org/10.3390/app13010255.
Pełny tekst źródłaSun, Ziyi, Yunfeng Zhang, Fangxun Bao, Ping Wang, Xunxiang Yao i Caiming Zhang. "SADnet: Semi-supervised Single Image Dehazing Method Based on an Attention Mechanism". ACM Transactions on Multimedia Computing, Communications, and Applications 18, nr 2 (31.05.2022): 1–23. http://dx.doi.org/10.1145/3478457.
Pełny tekst źródłaWei, Jianchong, Yan Cao, Kunping Yang, Liang Chen i Yi Wu. "Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot Learning". Remote Sensing 15, nr 11 (24.05.2023): 2732. http://dx.doi.org/10.3390/rs15112732.
Pełny tekst źródłaStojanovic, Branka, Sasa Milicevic i Srdjan Stankovic. "Improved dehazing techniques for maritime surveillance image enhancement". Serbian Journal of Electrical Engineering 15, nr 1 (2018): 53–70. http://dx.doi.org/10.2298/sjee1801053s.
Pełny tekst źródłaChow, Tsz-Yeung, King-Hung Lee i Kwok-Leung Chan. "Detection of Targets in Road Scene Images Enhanced Using Conditional GAN-Based Dehazing Model". Applied Sciences 13, nr 9 (24.04.2023): 5326. http://dx.doi.org/10.3390/app13095326.
Pełny tekst źródłaChung, Won Young, Sun Young Kim i Chang Ho Kang. "Image Dehazing Using LiDAR Generated Grayscale Depth Prior". Sensors 22, nr 3 (5.02.2022): 1199. http://dx.doi.org/10.3390/s22031199.
Pełny tekst źródłaXu, Xiaoxiao. "A Lightweight Dual-Branch Image Dehazing Network based on Associative Learning". Frontiers in Computing and Intelligent Systems 4, nr 2 (25.06.2023): 27–30. http://dx.doi.org/10.54097/fcis.v4i2.9761.
Pełny tekst źródłaZheng, Junbao, Chenke Xu, Wei Zhang i Xu Yang. "Single Image Dehazing Using Global Illumination Compensation". Sensors 22, nr 11 (30.05.2022): 4169. http://dx.doi.org/10.3390/s22114169.
Pełny tekst źródłaYao, Xin-Wei, Xinge Zhang, Yuchen Zhang, Weiwei Xing i Xing Zhang. "Nighttime Image Dehazing Based on Point Light Sources". Applied Sciences 12, nr 20 (11.10.2022): 10222. http://dx.doi.org/10.3390/app122010222.
Pełny tekst źródłaFilin, A., A. Kopylov i I. Gracheva. "A SINGLE IMAGE DEHAZING DATASET WITH LOW-LIGHT REAL-WORLD INDOOR IMAGES, DEPTH MAPS AND INFRARED IMAGES". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W3-2023 (12.05.2023): 53–57. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w3-2023-53-2023.
Pełny tekst źródłaNgo, Dat, Seungmin Lee, Gi-Dong Lee i Bongsoon Kang. "Automating a Dehazing System by Self-Calibrating on Haze Conditions". Sensors 21, nr 19 (24.09.2021): 6373. http://dx.doi.org/10.3390/s21196373.
Pełny tekst źródłaLee, Seungmin, Dat Ngo i Bongsoon Kang. "Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System". Remote Sensing 14, nr 8 (12.04.2022): 1852. http://dx.doi.org/10.3390/rs14081852.
Pełny tekst źródłaZheng, Shunyuan, Jiamin Sun, Qinglin Liu, Yuankai Qi i Jianen Yan. "Overwater Image Dehazing via Cycle-Consistent Generative Adversarial Network". Electronics 9, nr 11 (8.11.2020): 1877. http://dx.doi.org/10.3390/electronics9111877.
Pełny tekst źródłaDong, Yu, Yihao Liu, He Zhang, Shifeng Chen i Yu Qiao. "FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing". Proceedings of the AAAI Conference on Artificial Intelligence 34, nr 07 (3.04.2020): 10729–36. http://dx.doi.org/10.1609/aaai.v34i07.6701.
Pełny tekst źródłaFahim, Masud An-Nur Islam, i Ho Yub Jung. "Single Image Dehazing Using End-to-End Deep-Dehaze Network". Electronics 10, nr 7 (30.03.2021): 817. http://dx.doi.org/10.3390/electronics10070817.
Pełny tekst źródłaKumar, Vinaya, i Madhu Lata Nirmal. "Image Dehazing from Repeated Averaging Filters with Artificial Neural Network". International Journal for Research in Applied Science and Engineering Technology 10, nr 2 (28.02.2022): 1240–49. http://dx.doi.org/10.22214/ijraset.2022.40484.
Pełny tekst źródłaLiu, Shuai, Ying Li, Hang Li, Bin Wang, Yuanhao Wu i Zhenduo Zhang. "Visual Image Dehazing Using Polarimetric Atmospheric Light Estimation". Applied Sciences 13, nr 19 (1.10.2023): 10909. http://dx.doi.org/10.3390/app131910909.
Pełny tekst źródłaFattal, Raanan. "Single image dehazing". ACM Transactions on Graphics 27, nr 3 (sierpień 2008): 1–9. http://dx.doi.org/10.1145/1360612.1360671.
Pełny tekst źródłaYoon, Sungan, i Jeongho Cho. "Deep Multimodal Detection in Reduced Visibility Using Thermal Depth Estimation for Autonomous Driving". Sensors 22, nr 14 (6.07.2022): 5084. http://dx.doi.org/10.3390/s22145084.
Pełny tekst źródłaHou, Xujia, Feihu Zhang, Zewen Wang, Guanglei Song, Zijun Huang i Jinpeng Wang. "DFFA-Net: A Differential Convolutional Neural Network for Underwater Optical Image Dehazing". Electronics 12, nr 18 (14.09.2023): 3876. http://dx.doi.org/10.3390/electronics12183876.
Pełny tekst źródłaYang, Geonmo, Juhui Lee, Ayoung Kim i Younggun Cho. "Sparse Depth-Guided Image Enhancement Using Incremental GP with Informative Point Selection". Sensors 23, nr 3 (20.01.2023): 1212. http://dx.doi.org/10.3390/s23031212.
Pełny tekst źródłaJin, Guo Dong, Li Bin Lu i Xiao Fei Zhu. "An Dehazing Algorithm of Lossy Compression Video Image". Advanced Materials Research 850-851 (grudzień 2013): 825–29. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.825.
Pełny tekst źródłaLiu, Jun, Rong Jia, Wei Li, Fuqi Ma i Xiaoyang Wang. "Image Dehazing Method of Transmission Line for Unmanned Aerial Vehicle Inspection Based on Densely Connection Pyramid Network". Wireless Communications and Mobile Computing 2020 (8.10.2020): 1–9. http://dx.doi.org/10.1155/2020/8857271.
Pełny tekst źródłaYu, Jing, Deying Liang, Bo Hang i Hongtao Gao. "Aerial Image Dehazing Using Reinforcement Learning". Remote Sensing 14, nr 23 (26.11.2022): 5998. http://dx.doi.org/10.3390/rs14235998.
Pełny tekst źródłaNan, Dong, Du-yan Bi, Chang Liu, Shi-ping Ma i Lin-yuan He. "A Bayesian Framework for Single Image Dehazing considering Noise". Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/651986.
Pełny tekst źródłaHe, Renjie, Xintao Guo i Zhongke Shi. "SIDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images". Sensors 20, nr 18 (16.09.2020): 5300. http://dx.doi.org/10.3390/s20185300.
Pełny tekst źródłaLee, Ho Sang. "Eximious Sandstorm Image Improvement Using Image Adaptive Ratio and Brightness-Adaptive Dark Channel Prior". Symmetry 14, nr 7 (28.06.2022): 1334. http://dx.doi.org/10.3390/sym14071334.
Pełny tekst źródłaVishwakarma, Sandeep, Anuradha Pillai i Deepika Punj. "An Enhancement in Single-Image Dehazing Employing Contrastive Attention over Variational Auto-Encoder (CA-VAE) Method". International Journal of Mathematical, Engineering and Management Sciences 8, nr 4 (1.08.2023): 728–54. http://dx.doi.org/10.33889/ijmems.2023.8.4.042.
Pełny tekst źródłaKim, Changwon. "Region Adaptive Single Image Dehazing". Entropy 23, nr 11 (30.10.2021): 1438. http://dx.doi.org/10.3390/e23111438.
Pełny tekst źródłaAbdulkareem, Karrar Hameed, Nureize Arbaiy, A. A. Zaidan, B. B. Zaidan, O. S. Albahri, M. A. Alsalem i Mahmood M. Salih. "A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques". International Journal of Information Technology & Decision Making 19, nr 03 (maj 2020): 909–57. http://dx.doi.org/10.1142/s0219622020500169.
Pełny tekst źródłaPorto Marques, Tunai, Alexandra Branzan Albu i Maia Hoeberechts. "A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images". Journal of Imaging 5, nr 10 (1.10.2019): 79. http://dx.doi.org/10.3390/jimaging5100079.
Pełny tekst źródłaWu, Xiaohua, Zenglu Li, Xiaoyu Guo, Songyang Xiang i Yao Zhang. "Multi-level perception fusion dehazing network". PLOS ONE 18, nr 10 (2.10.2023): e0285137. http://dx.doi.org/10.1371/journal.pone.0285137.
Pełny tekst źródłaYousaf, Rehan Mehmood, Hafiz Adnan Habib, Zahid Mehmood, Ameen Banjar, Riad Alharbey i Omar Aboulola. "Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability-Weighted Moments". Mathematical Problems in Engineering 2019 (2.12.2019): 1–11. http://dx.doi.org/10.1155/2019/9721503.
Pełny tekst źródłaWang, Zhibo, Jia Jia, Peng Lyu i Jeongik Min. "Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing". Journal of Imaging 9, nr 9 (11.09.2023): 183. http://dx.doi.org/10.3390/jimaging9090183.
Pełny tekst źródłaLiu, Qinghong, Yong Qin, Zhengyu Xie, Zhiwei Cao i Limin Jia. "An Efficient Residual-Based Method for Railway Image Dehazing". Sensors 20, nr 21 (30.10.2020): 6204. http://dx.doi.org/10.3390/s20216204.
Pełny tekst źródłaZhang, Y., L. Y. Luo, H. J. Zhao, R. D. Qiu i Y. S. Ying. "IMAGE DEHAZING BASED ON MULTISPECTRAL POLARIZATION IMAGING METHOD IN DIFFERENT DETECTION MODES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (6.08.2020): 615–20. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-615-2020.
Pełny tekst źródłaJiang, Bo, Wanxu Zhang, Jian Zhao, Yi Ru, Min Liu, Xiaolei Ma, Xiaoxuan Chen i Hongqi Meng. "Gray-Scale Image Dehazing Guided by Scene Depth Information". Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7809214.
Pełny tekst źródłaHu, Xianjun, Jing Wang, Chunlei Zhang i Yishuo Tong. "Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems". Journal of Advanced Transportation 2021 (30.04.2021): 1–18. http://dx.doi.org/10.1155/2021/6658763.
Pełny tekst źródłaSong, Runze, Zhaohui Liu i Chao Wang. "End-to-end dehazing of traffic sign images using reformulated atmospheric scattering model". Journal of Intelligent & Fuzzy Systems 41, nr 6 (16.12.2021): 6815–30. http://dx.doi.org/10.3233/jifs-210733.
Pełny tekst źródłaYang, Zhenjian, Jiamei Shang, Zhongwei Zhang, Yan Zhang i Shudong Liu. "A new end-to-end image dehazing algorithm based on residual attention mechanism". Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, nr 4 (sierpień 2021): 901–8. http://dx.doi.org/10.1051/jnwpu/20213940901.
Pełny tekst źródłaNgo, Dat, Gi-Dong Lee i Bongsoon Kang. "Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation". Sensors 21, nr 11 (4.06.2021): 3896. http://dx.doi.org/10.3390/s21113896.
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