Artículos de revistas sobre el tema "Low-light enhancement and denoising"
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Carré, Maxime y Michel Jourlin. "Extending Camera’s Capabilities in Low Light Conditions Based on LIP Enhancement Coupled with CNN Denoising". Sensors 21, n.º 23 (27 de noviembre de 2021): 7906. http://dx.doi.org/10.3390/s21237906.
Texto completoZhang, Jialiang, Ruiwen Ji, Jingwen Wang, Hongcheng Sun y Mingye Ju. "DEGAN: Decompose-Enhance-GAN Network for Simultaneous Low-Light Image Lightening and Denoising". Electronics 12, n.º 14 (11 de julio de 2023): 3038. http://dx.doi.org/10.3390/electronics12143038.
Texto completoKim, Minjae, Dubok Park, David Han y Hanseok Ko. "A novel approach for denoising and enhancement of extremely low-light video". IEEE Transactions on Consumer Electronics 61, n.º 1 (febrero de 2015): 72–80. http://dx.doi.org/10.1109/tce.2015.7064113.
Texto completoMalik, Sameer y Rajiv Soundararajan. "A low light natural image statistical model for joint contrast enhancement and denoising". Signal Processing: Image Communication 99 (noviembre de 2021): 116433. http://dx.doi.org/10.1016/j.image.2021.116433.
Texto completoDas Mou, Trisha, Saadia Binte Alam, Md Hasibur Rahman, Gautam Srivastava, Mahady Hasan y Mohammad Faisal Uddin. "Multi-Range Sequential Learning Based Dark Image Enhancement with Color Upgradation". Applied Sciences 13, n.º 2 (12 de enero de 2023): 1034. http://dx.doi.org/10.3390/app13021034.
Texto completoHan, Guang, Yingfan Wang, Jixin Liu y Fanyu Zeng. "Low-light images enhancement and denoising network based on unsupervised learning multi-stream feature modeling". Journal of Visual Communication and Image Representation 96 (octubre de 2023): 103932. http://dx.doi.org/10.1016/j.jvcir.2023.103932.
Texto completoHu, Linshu, Mengjiao Qin, Feng Zhang, Zhenhong Du y Renyi Liu. "RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images". Remote Sensing 13, n.º 1 (26 de diciembre de 2020): 62. http://dx.doi.org/10.3390/rs13010062.
Texto completoZhao, Meng Ling y Min Xia Jiang. "Research on Enhanced of Mine-Underground Picture". Advanced Materials Research 490-495 (marzo de 2012): 548–52. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.548.
Texto completoWu, Zeju, Yang Ji, Lijun Song y Jianyuan Sun. "Underwater Image Enhancement Based on Color Correction and Detail Enhancement". Journal of Marine Science and Engineering 10, n.º 10 (17 de octubre de 2022): 1513. http://dx.doi.org/10.3390/jmse10101513.
Texto completoXu, Xiaogang, Ruixing Wang, Chi-Wing Fu y Jiaya Jia. "Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3054–62. http://dx.doi.org/10.1609/aaai.v37i3.25409.
Texto completoTian, Mingchuan y Jizheng Liu. "Low-Power Communication Signal Enhancement Method of Internet of Things Based on Nonlocal Mean Denoising". Wireless Communications and Mobile Computing 2022 (30 de julio de 2022): 1–9. http://dx.doi.org/10.1155/2022/5167639.
Texto completoHassan, Raaid N. "A comparison between PCA and some enhancement filters for denoising astronomical images". Iraqi Journal of Physics (IJP) 11, n.º 22 (20 de febrero de 2019): 82–92. http://dx.doi.org/10.30723/ijp.v11i22.356.
Texto completoSun, Qingjiao, Huiyan Jiang, Ganzheng Zhu, Siqi Li, Shang Gong, Benqiang Yang y Libo Zhang. "HDR Pathological Image Enhancement Based on Improved Bias Field Correction and Guided Image Filter". BioMed Research International 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7478219.
Texto completoYu, Lijia, Jie Luo, Shaoping Xu, Xiaojun Chen y Nan Xiao. "An Unsupervised Weight Map Generative Network for Pixel-Level Combination of Image Denoisers". Applied Sciences 12, n.º 12 (19 de junio de 2022): 6227. http://dx.doi.org/10.3390/app12126227.
Texto completoLi, Shunlei, Muhammad Adeel Azam, Ajay Gunalan y Leonardo S. Mattos. "One-Step Enhancer: Deblurring and Denoising of OCT Images". Applied Sciences 12, n.º 19 (7 de octubre de 2022): 10092. http://dx.doi.org/10.3390/app121910092.
Texto completoJiang, Hui Qin, Zhong Yong Wang, Ling Ma, Yu Min Liu y Ping Li. "Wavelet-Based Medical Image Denoising and Enhancement". Applied Mechanics and Materials 195-196 (agosto de 2012): 515–20. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.515.
Texto completoCutmore, Tim R. H. y Patrick Celka. "Composite Noise Reduction of ERPs Using Wavelet, Model-Based, and Principal Component Subspace Methods". Journal of Psychophysiology 22, n.º 3 (enero de 2008): 111–20. http://dx.doi.org/10.1027/0269-8803.22.3.111.
Texto completoP, Karuppusamy. "TECHNIQUES FOR ENHANCEMENT AND DENOISING OF UNDERWATER IMAGES: A REVIEW". Journal of Innovative Image Processing 1, n.º 02 (10 de diciembre de 2019): 81–90. http://dx.doi.org/10.36548/jiip.2019.2.003.
Texto completoWang, Xuan, Liju Yin, Mingliang Gao, Zhenzhou Wang, Jin Shen y Guofeng Zou. "Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform". Sensors 19, n.º 11 (29 de mayo de 2019): 2462. http://dx.doi.org/10.3390/s19112462.
Texto completoZhou, Daxin, Yurong Qian, Yuanyuan Ma, Yingying Fan, Jianeng Yang y Fuxiang Tan. "Low illumination image enhancement based on multi-scale CycleGAN with deep residual shrinkage". Journal of Intelligent & Fuzzy Systems 42, n.º 3 (2 de febrero de 2022): 2383–95. http://dx.doi.org/10.3233/jifs-211664.
Texto completoSuganthy, M., S. Lakshmi y S. Palanivel. "Enhancing the Quality of Underwater Images using Fusion of sequential Filters and Dehazing". International Journal of Engineering & Technology 7, n.º 2.24 (25 de abril de 2018): 296. http://dx.doi.org/10.14419/ijet.v7i2.24.12067.
Texto completoChen, Xiaohua, Qiang Sheng y Bhupesh Kumar Singh. "Aerobics Image Classification Algorithm Based on Modal Symmetry Algorithm". Computational Intelligence and Neuroscience 2021 (3 de septiembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/5970957.
Texto completoWang, Min, Zhen Li, Xiangjun Duan y Wei Li. "An Image Denoising Method with Enhancement of the Directional Features Based on Wavelet and SVD Transforms". Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/469350.
Texto completoYe, Jun y Xian Zhang. "Hyperspectral Image Denoising via Subspace Low-rank Representation and Spatial‐spectral Total Variation". Journal of Imaging Science and Technology 64, n.º 1 (1 de enero de 2020): 10507–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.1.010507.
Texto completoYang, Jun, Junyang Chen, Jun Li, Shijie Dai y Yihui He. "An Improved Median Filter Based on YOLOv5 Applied to Electrochemiluminescence Image Denoising". Electronics 12, n.º 7 (24 de marzo de 2023): 1544. http://dx.doi.org/10.3390/electronics12071544.
Texto completoJeon, Yeong-Jae, Shin-Eui Park, Keun-A. Chang y Hyeon-Man Baek. "Signal-to-Noise Ratio Enhancement of Single-Voxel In Vivo 31P and 1H Magnetic Resonance Spectroscopy in Mice Brain Data Using Low-Rank Denoising". Metabolites 12, n.º 12 (29 de noviembre de 2022): 1191. http://dx.doi.org/10.3390/metabo12121191.
Texto completoChen, Juan, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng y Lei Dong. "A Novel Adaptive Group Sparse Representation Model Based on Infrared Image Denoising for Remote Sensing Application". Applied Sciences 13, n.º 9 (6 de mayo de 2023): 5749. http://dx.doi.org/10.3390/app13095749.
Texto completoYoon, Sang Min, Yeon Ju Lee, Gang-Joon Yoon y Jungho Yoon. "Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs". Scientific World Journal 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/319506.
Texto completoBurhan, Iman Mohammed, Rahman Nahi Abid, Mustafa Abdalkhudhur Jasim y Refed Adnan Jaleel. "Improved Methods for Mammogram Breast Cancer Using by Denoising Filtering". Webology 19, n.º 1 (20 de enero de 2022): 1481–92. http://dx.doi.org/10.14704/web/v19i1/web19099.
Texto completoWang, Enning y Jeff Nealon. "Applying machine learning to 3D seismic image denoising and enhancement". Interpretation 7, n.º 3 (1 de agosto de 2019): SE131—SE139. http://dx.doi.org/10.1190/int-2018-0224.1.
Texto completoLi, Huafeng, Xiaoge He, Dapeng Tao, Yuanyan Tang y Ruxin Wang. "Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning". Pattern Recognition 79 (julio de 2018): 130–46. http://dx.doi.org/10.1016/j.patcog.2018.02.005.
Texto completoPalovcak, Eugene, Daniel Asarnow, Melody G. Campbell, Zanlin Yu y Yifan Cheng. "Enhancing the signal-to-noise ratio and generating contrast for cryo-EM images with convolutional neural networks". IUCrJ 7, n.º 6 (24 de octubre de 2020): 1142–50. http://dx.doi.org/10.1107/s2052252520013184.
Texto completoWang, Luna, Liao Yu, Jun Zhu, Haoyu Tang, Fangfang Gou y Jia Wu. "Auxiliary Segmentation Method of Osteosarcoma in MRI Images Based on Denoising and Local Enhancement". Healthcare 10, n.º 8 (4 de agosto de 2022): 1468. http://dx.doi.org/10.3390/healthcare10081468.
Texto completoTan, Hongjun, Dongxiu Ou, Lei Zhang, Guochen Shen, Xinghua Li y Yuqing Ji. "Infrared Sensation-Based Salient Targets Enhancement Methods in Low-Visibility Scenes". Sensors 22, n.º 15 (4 de agosto de 2022): 5835. http://dx.doi.org/10.3390/s22155835.
Texto completoJiang, Xiao, Haibin Yu, Yaxin Zhang, Mian Pan, Zhu Li, Jingbiao Liu y Shuaishuai Lv. "An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network". Sensors 23, n.º 13 (21 de junio de 2023): 5774. http://dx.doi.org/10.3390/s23135774.
Texto completoShi, Xiangsheng, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang y Yu Wang. "Memory-Oriented Structural Pruning for Efficient Image Restoration". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junio de 2023): 2245–53. http://dx.doi.org/10.1609/aaai.v37i2.25319.
Texto completoYao, Chao, Shuo Jin, Meiqin Liu y Xiaojuan Ban. "Dense Residual Transformer for Image Denoising". Electronics 11, n.º 3 (29 de enero de 2022): 418. http://dx.doi.org/10.3390/electronics11030418.
Texto completoHuang, Liangliang, Huiyan Jiang, Shaojie Li, Zhiqi Bai y Jitong Zhang. "Two stage residual CNN for texture denoising and structure enhancement on low dose CT image". Computer Methods and Programs in Biomedicine 184 (febrero de 2020): 105115. http://dx.doi.org/10.1016/j.cmpb.2019.105115.
Texto completoYan, Mengying, Danyang Qin, Gengxin Zhang, Huapeng Tang y Lin Ma. "Nighttime Image Stitching Method Based on Image Decomposition Enhancement". Entropy 25, n.º 9 (31 de agosto de 2023): 1282. http://dx.doi.org/10.3390/e25091282.
Texto completoZhang, Peng Lin, Zhi Qiang Zhao y Peng Kong. "Study on Pretreatment Method of X-Ray Real-Time Imaging Digital Image". Advanced Materials Research 815 (octubre de 2013): 854–59. http://dx.doi.org/10.4028/www.scientific.net/amr.815.854.
Texto completoGe, Wei, Le Zhang, Weida Zhan, Jiale Wang, Depeng Zhu y Yang Hong. "A Low-Illumination Enhancement Method Based on Structural Layer and Detail Layer". Entropy 25, n.º 8 (12 de agosto de 2023): 1201. http://dx.doi.org/10.3390/e25081201.
Texto completoKHALDI, KAIS, MONIA TURKI-HADJ ALOUANE y ABDEL-OUAHAB BOUDRAA. "VOICED SPEECH ENHANCEMENT BASED ON ADAPTIVE FILTERING OF SELECTED INTRINSIC MODE FUNCTIONS". Advances in Adaptive Data Analysis 02, n.º 01 (enero de 2010): 65–80. http://dx.doi.org/10.1142/s1793536910000409.
Texto completoManwar, Rayyan, Matin Hosseinzadeh, Ali Hariri, Karl Kratkiewicz, Shahryar Noei y Mohammad N. Avanaki. "Photoacoustic Signal Enhancement: Towards Utilization of Low Energy Laser Diodes in Real-Time Photoacoustic Imaging". Sensors 18, n.º 10 (17 de octubre de 2018): 3498. http://dx.doi.org/10.3390/s18103498.
Texto completoGuo, Shiyao, Yuxia Sheng, Li Chai y Jingxin Zhang. "Kernel graph filtering—A new method for dynamic sinogram denoising". PLOS ONE 16, n.º 12 (2 de diciembre de 2021): e0260374. http://dx.doi.org/10.1371/journal.pone.0260374.
Texto completoHuang, Hui, Xi’an Feng y Jionghui Jiang. "Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features". Journal of Electrical and Computer Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6807473.
Texto completoHuang, Shih-Chia, Quoc-Viet Hoang, Trung-Hieu Le, Yan-Tsung Peng, Ching-Chun Huang, Cheng Zhang, Benjamin C. M. Fung, Kai-Han Cheng y Sha-Wo Huang. "An Advanced Noise Reduction and Edge Enhancement Algorithm". Sensors 21, n.º 16 (10 de agosto de 2021): 5391. http://dx.doi.org/10.3390/s21165391.
Texto completoDong, Xuan, Xiaoyan Hu, Weixin Li, Xiaojie Wang y Yunhong Wang. "MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 2 (18 de mayo de 2021): 1264–72. http://dx.doi.org/10.1609/aaai.v35i2.16214.
Texto completodel Ser, D. y O. Fors. "tfaw survey – I. Wavelet-based denoising of K2 light curves. Discovery and validation of two new Earth-sized planets in K2 campaign 1". Monthly Notices of the Royal Astronomical Society 498, n.º 2 (19 de agosto de 2020): 2778–97. http://dx.doi.org/10.1093/mnras/staa2509.
Texto completoTsagkatakis, Grigorios, Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Anastasia Pentari y Panagiotis Tsakalides. "Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement". Sensors 19, n.º 18 (12 de septiembre de 2019): 3929. http://dx.doi.org/10.3390/s19183929.
Texto completoHuo, Fu Rong, He Li, Yu Hang Yang, Chang Xi Xue y Wen Sheng Wang. "Imaging Analysis and Application of Digital Speckle Photography with EALCD". Applied Mechanics and Materials 333-335 (julio de 2013): 1007–12. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1007.
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