Artículos de revistas sobre el tema "Multi-Exposure Fusion"
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Goshtasby, A. Ardeshir. "Fusion of multi-exposure images". Image and Vision Computing 23, n.º 6 (junio de 2005): 611–18. http://dx.doi.org/10.1016/j.imavis.2005.02.004.
Texto completoCM, Sushmitha y Meharunnisa SP. "An Image Quality Assessment of Multi-Exposure Image Fusion by Improving SSIM". International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 de junio de 2018): 2780–84. http://dx.doi.org/10.31142/ijtsrd15634.
Texto completoLI Wei-zhong, 李卫中, 易本顺 YI Ben-shun, 邱. 康. QIU Kang y 彭. 红. PENG Hong. "Detail preserving multi-exposure image fusion". Optics and Precision Engineering 24, n.º 9 (2016): 2283–92. http://dx.doi.org/10.3788/ope.20162409.2283.
Texto completoShaikh, Uzmanaz A., Vivek J. Vishwakarma y Shubham S. Mahale. "Dynamic Scene Multi-Exposure Image Fusion". IETE Journal of Education 59, n.º 2 (3 de julio de 2018): 53–61. http://dx.doi.org/10.1080/09747338.2018.1510744.
Texto completoLi, Zhengguo, Zhe Wei, Changyun Wen y Jinghong Zheng. "Detail-Enhanced Multi-Scale Exposure Fusion". IEEE Transactions on Image Processing 26, n.º 3 (marzo de 2017): 1243–52. http://dx.doi.org/10.1109/tip.2017.2651366.
Texto completoInoue, Kohei, Hengjun Yu, Kenji Hara y Kiichi Urahama. "Saturation-Enhancing Multi-Exposure Image Fusion". Journal of the Institute of Image Information and Television Engineers 70, n.º 8 (2016): J185—J187. http://dx.doi.org/10.3169/itej.70.j185.
Texto completoLiu, Renshuai, Chengyang Li, Haitao Cao, Yinglin Zheng, Ming Zeng y Xuan Cheng. "EMEF: Ensemble Multi-Exposure Image Fusion". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junio de 2023): 1710–18. http://dx.doi.org/10.1609/aaai.v37i2.25259.
Texto completoXiang, Hu Yan y Xi Rong Ma. "An Improved Multi-Exposure Image Fusion Algorithm". Advanced Materials Research 403-408 (noviembre de 2011): 2200–2205. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2200.
Texto completoDeng, Chenwei, Zhen Li, Shuigen Wang, Xun Liu y Jiahui Dai. "Saturation-based quality assessment for colorful multi-exposure image fusion". International Journal of Advanced Robotic Systems 14, n.º 2 (1 de marzo de 2017): 172988141769462. http://dx.doi.org/10.1177/1729881417694627.
Texto completoHayat, Naila y Muhammad Imran. "Multi-exposure image fusion technique using multi-resolution blending". IET Image Processing 13, n.º 13 (14 de noviembre de 2019): 2554–61. http://dx.doi.org/10.1049/iet-ipr.2019.0438.
Texto completoSong, Changho, Soowoong Jeong y Sangkeun Lee. "Colorful Multi-Exposure Fusion with Guided Filtering based Fusion Method". TECHART: Journal of Arts and Imaging Science 3, n.º 4 (30 de noviembre de 2016): 27. http://dx.doi.org/10.15323/techart.2016.11.3.4.27.
Texto completoLIU Xin-long, 刘鑫龙 y 易红伟 YI Hong-wei. "Improved Multi-exposure Image Pyramid Fusion Method". ACTA PHOTONICA SINICA 48, n.º 8 (2019): 810002. http://dx.doi.org/10.3788/gzxb20194808.0810002.
Texto completoBabu, K. Suresh, S. Ali Asgar, Dr V. Thtimurthulu y MSA Srivatsava. "Multi Exposure Image Fusion based on PCA". International Journal of Engineering Research and Advanced Technology 4, n.º 8 (2018): 37–46. http://dx.doi.org/10.31695/ijerat.2018.3296.
Texto completoYan, Qingsen, Yu Zhu, Yulin Zhou, Jinqiu Sun, Lei Zhang y Yanning Zhang. "Enhancing image visuality by multi-exposure fusion". Pattern Recognition Letters 127 (noviembre de 2019): 66–75. http://dx.doi.org/10.1016/j.patrec.2018.10.008.
Texto completoAhmad, Attiq, Muhammad Mohsin Riaz, Abdul Ghafoor y Tahir Zaidi. "Noise Resistant Fusion for Multi-Exposure Sensors". IEEE Sensors Journal 16, n.º 13 (julio de 2016): 5123–24. http://dx.doi.org/10.1109/jsen.2016.2556715.
Texto completoPaul, Sujoy, Ioana S. Sevcenco y Panajotis Agathoklis. "Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain". Journal of Circuits, Systems and Computers 25, n.º 10 (22 de julio de 2016): 1650123. http://dx.doi.org/10.1142/s0218126616501231.
Texto completoShouhong, Chen, Zhao Shuang, Ma Jun, Liu Xinyu y Hou Xingna. "A Multi-exposure Image Fusion Method with Detail Preservation". MATEC Web of Conferences 173 (2018): 03009. http://dx.doi.org/10.1051/matecconf/201817303009.
Texto completoBuades, Antoni, Jose Luis Lisani y Onofre Martorell. "Efficient joint noise removal and multi exposure fusion". PLOS ONE 17, n.º 3 (25 de marzo de 2022): e0265464. http://dx.doi.org/10.1371/journal.pone.0265464.
Texto completoXu, Han, Liang Haochen y Jiayi Ma. "Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3010–17. http://dx.doi.org/10.1609/aaai.v37i3.25404.
Texto completoZhang, Xingchen. "Benchmarking and comparing multi-exposure image fusion algorithms". Information Fusion 74 (octubre de 2021): 111–31. http://dx.doi.org/10.1016/j.inffus.2021.02.005.
Texto completoPIAO Yong-jie, 朴永杰, 徐伟 XU Wei, 王绍举 WANG Shao-ju y 陶淑苹 TAO Shu-ping. "Fast multi-exposure image fusion for HDR video". Chinese Journal of Liquid Crystals and Displays 29, n.º 6 (2014): 1032–41. http://dx.doi.org/10.3788/yjyxs20142906.1032.
Texto completoHan, Dong, Liang Li, Xiaojie Guo y Jiayi Ma. "Multi-exposure image fusion via deep perceptual enhancement". Information Fusion 79 (marzo de 2022): 248–62. http://dx.doi.org/10.1016/j.inffus.2021.10.006.
Texto completoXu, Fang, Jinghong Liu, Yueming Song, Hui Sun y Xuan Wang. "Multi-Exposure Image Fusion Techniques: A Comprehensive Review". Remote Sensing 14, n.º 3 (7 de febrero de 2022): 771. http://dx.doi.org/10.3390/rs14030771.
Texto completoMa, Kede, Kai Zeng y Zhou Wang. "Perceptual Quality Assessment for Multi-Exposure Image Fusion". IEEE Transactions on Image Processing 24, n.º 11 (noviembre de 2015): 3345–56. http://dx.doi.org/10.1109/tip.2015.2442920.
Texto completoZhang, Wenlong, Xiaolin Liu, Wuchao Wang y Yujun Zeng. "Multi-exposure image fusion based on wavelet transform". International Journal of Advanced Robotic Systems 15, n.º 2 (marzo de 2018): 172988141876893. http://dx.doi.org/10.1177/1729881418768939.
Texto completoChoi, Seungcheol, Oh-Jin Kwon y Jinhee Lee. "A Method for Fast Multi-Exposure Image Fusion". IEEE Access 5 (2017): 7371–80. http://dx.doi.org/10.1109/access.2017.2694038.
Texto completoLiu, Yu y Zengfu Wang. "Dense SIFT for ghost-free multi-exposure fusion". Journal of Visual Communication and Image Representation 31 (agosto de 2015): 208–24. http://dx.doi.org/10.1016/j.jvcir.2015.06.021.
Texto completoWu, Shengcong, Ting Luo, Yang Song y Haiyong Xu. "Multi-exposure image fusion based on tensor decomposition". Multimedia Tools and Applications 79, n.º 33-34 (16 de junio de 2020): 23957–75. http://dx.doi.org/10.1007/s11042-020-09131-x.
Texto completoMartorell, Onofre, Catalina Sbert y Antoni Buades. "Ghosting-free DCT based multi-exposure image fusion". Signal Processing: Image Communication 78 (octubre de 2019): 409–25. http://dx.doi.org/10.1016/j.image.2019.07.020.
Texto completoHu, Yunxue, Chao Xu, Zhengping Li, Fang Lei, Bo Feng, Lingling Chu, Chao Nie y Dou Wang. "Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering". Electronics 11, n.º 8 (11 de abril de 2022): 1211. http://dx.doi.org/10.3390/electronics11081211.
Texto completoHan, Yongcheng, Wenwen Zhang y Weiji He. "Low-light image enhancement based on simulated multi-exposure fusion". Journal of Physics: Conference Series 2478, n.º 6 (1 de junio de 2023): 062022. http://dx.doi.org/10.1088/1742-6596/2478/6/062022.
Texto completoJia, Jinquan, Jian Sun y Zhiqin Zhu. "A multi-scale patch-wise algorithm for multi-exposure image fusion". Optik 248 (diciembre de 2021): 168120. http://dx.doi.org/10.1016/j.ijleo.2021.168120.
Texto completoLi, Hui, Kede Ma, Hongwei Yong y Lei Zhang. "Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion". IEEE Transactions on Image Processing 29 (2020): 5805–16. http://dx.doi.org/10.1109/tip.2020.2987133.
Texto completoIm, Chan-Gi, Dong-Min Son, Hyuk-Ju Kwon y Sung-Hak Lee. "Multi-Task Learning Approach Using Dynamic Hyperparameter for Multi-Exposure Fusion". Mathematics 11, n.º 7 (27 de marzo de 2023): 1620. http://dx.doi.org/10.3390/math11071620.
Texto completoBAI Bendu, 白本督 y 李俊鹏 LI Junpeng. "基于注意力机制的多曝光图像融合算法". ACTA PHOTONICA SINICA 51, n.º 4 (2022): 0410004. http://dx.doi.org/10.3788/gzxb20225104.0410004.
Texto completoQu, Linhao, Shaolei Liu, Manning Wang y Zhijian Song. "TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2126–34. http://dx.doi.org/10.1609/aaai.v36i2.20109.
Texto completoZhang, Jiebin, Shangyou Zeng, Ying Wang, Jinjin Wang y Hongyang Chen. "An Efficient Extreme-Exposure Image Fusion Method". Journal of Physics: Conference Series 2137, n.º 1 (1 de diciembre de 2021): 012061. http://dx.doi.org/10.1088/1742-6596/2137/1/012061.
Texto completoQi, Yanjie, Zehui Yang y Lin Kang. "Multi-exposure X-ray image fusion quality evaluation based on CSF and gradient amplitude similarity". Journal of X-Ray Science and Technology 29, n.º 4 (27 de julio de 2021): 697–709. http://dx.doi.org/10.3233/xst-210871.
Texto completoKINOSHITA, Yuma, Sayaka SHIOTA y Hitoshi KIYA. "A Pseudo Multi-Exposure Fusion Method Using Single Image". IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, n.º 11 (1 de noviembre de 2018): 1806–14. http://dx.doi.org/10.1587/transfun.e101.a.1806.
Texto completoRyu, Je-Ho, Jong-Han Kim y Jong-Ok Kim. "Deep Gradual Multi-Exposure Fusion Via Recurrent Convolutional Network". IEEE Access 9 (2021): 144756–67. http://dx.doi.org/10.1109/access.2021.3122540.
Texto completoKim, Jong-Han, Je-Ho Ryu y Jong-Ok Kim. "FDD-MEF: Feature-Decomposition-Based Deep Multi-Exposure Fusion". IEEE Access 9 (2021): 164551–61. http://dx.doi.org/10.1109/access.2021.3134316.
Texto completoSingh, Harbinder, Gabriel Cristobal, Gloria Bueno, Saul Blanco, Simrandeep Singh, P. N. Hrisheekesha y Nitin Mittal. "Multi-exposure microscopic image fusion-based detail enhancement algorithm". Ultramicroscopy 236 (junio de 2022): 113499. http://dx.doi.org/10.1016/j.ultramic.2022.113499.
Texto completoYang, T. T. y P. Y. Fang. "Multi exposure image fusion algorithm based on YCbCr space". IOP Conference Series: Materials Science and Engineering 359 (mayo de 2018): 012002. http://dx.doi.org/10.1088/1757-899x/359/1/012002.
Texto completoMa, Kede, Zhengfang Duanmu, Hanwei Zhu, Yuming Fang y Zhou Wang. "Deep Guided Learning for Fast Multi-Exposure Image Fusion". IEEE Transactions on Image Processing 29 (2020): 2808–19. http://dx.doi.org/10.1109/tip.2019.2952716.
Texto completoKou, Fei, Zhengguo Li, Changyun Wen y Weihai Chen. "Edge-preserving smoothing pyramid based multi-scale exposure fusion". Journal of Visual Communication and Image Representation 53 (mayo de 2018): 235–44. http://dx.doi.org/10.1016/j.jvcir.2018.03.020.
Texto completoRui Shen, I. Cheng, Jianbo Shi y A. Basu. "Generalized Random Walks for Fusion of Multi-Exposure Images". IEEE Transactions on Image Processing 20, n.º 12 (diciembre de 2011): 3634–46. http://dx.doi.org/10.1109/tip.2011.2150235.
Texto completoYang, Yi, Wei Cao, Shiqian Wu y Zhengguo Li. "Multi-Scale Fusion of Two Large-Exposure-Ratio Images". IEEE Signal Processing Letters 25, n.º 12 (diciembre de 2018): 1885–89. http://dx.doi.org/10.1109/lsp.2018.2877893.
Texto completoPeng, Yan-Tsung, He-Hao Liao y Ching-Fu Chen. "Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction". Sensors 22, n.º 1 (22 de diciembre de 2021): 24. http://dx.doi.org/10.3390/s22010024.
Texto completoGao, Mingyu, Junfan Wang, Yi Chen, Chenjie Du, Chao Chen y Yu Zeng. "An Improved Multi-Exposure Image Fusion Method for Intelligent Transportation System". Electronics 10, n.º 4 (4 de febrero de 2021): 383. http://dx.doi.org/10.3390/electronics10040383.
Texto completoLiu, Jie y Yuanyuan Peng. "Research on Image Enhancement Algorithm Based on Artificial Intelligence". Journal of Physics: Conference Series 2074, n.º 1 (1 de noviembre de 2021): 012024. http://dx.doi.org/10.1088/1742-6596/2074/1/012024.
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