Статті в журналах з теми "Multi-Exposure Fusion"
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Goshtasby, A. Ardeshir. "Fusion of multi-exposure images." Image and Vision Computing 23, no. 6 (June 2005): 611–18. http://dx.doi.org/10.1016/j.imavis.2005.02.004.
Повний текст джерелаCM, Sushmitha, and 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 (June 30, 2018): 2780–84. http://dx.doi.org/10.31142/ijtsrd15634.
Повний текст джерелаLI Wei-zhong, 李卫中, 易本顺 YI Ben-shun, 邱. 康. QIU Kang, and 彭. 红. PENG Hong. "Detail preserving multi-exposure image fusion." Optics and Precision Engineering 24, no. 9 (2016): 2283–92. http://dx.doi.org/10.3788/ope.20162409.2283.
Повний текст джерелаShaikh, Uzmanaz A., Vivek J. Vishwakarma, and Shubham S. Mahale. "Dynamic Scene Multi-Exposure Image Fusion." IETE Journal of Education 59, no. 2 (July 3, 2018): 53–61. http://dx.doi.org/10.1080/09747338.2018.1510744.
Повний текст джерелаLi, Zhengguo, Zhe Wei, Changyun Wen, and Jinghong Zheng. "Detail-Enhanced Multi-Scale Exposure Fusion." IEEE Transactions on Image Processing 26, no. 3 (March 2017): 1243–52. http://dx.doi.org/10.1109/tip.2017.2651366.
Повний текст джерелаInoue, Kohei, Hengjun Yu, Kenji Hara, and Kiichi Urahama. "Saturation-Enhancing Multi-Exposure Image Fusion." Journal of the Institute of Image Information and Television Engineers 70, no. 8 (2016): J185—J187. http://dx.doi.org/10.3169/itej.70.j185.
Повний текст джерелаLiu, Renshuai, Chengyang Li, Haitao Cao, Yinglin Zheng, Ming Zeng, and Xuan Cheng. "EMEF: Ensemble Multi-Exposure Image Fusion." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 2 (June 26, 2023): 1710–18. http://dx.doi.org/10.1609/aaai.v37i2.25259.
Повний текст джерелаXiang, Hu Yan, and Xi Rong Ma. "An Improved Multi-Exposure Image Fusion Algorithm." Advanced Materials Research 403-408 (November 2011): 2200–2205. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2200.
Повний текст джерелаDeng, Chenwei, Zhen Li, Shuigen Wang, Xun Liu, and Jiahui Dai. "Saturation-based quality assessment for colorful multi-exposure image fusion." International Journal of Advanced Robotic Systems 14, no. 2 (March 1, 2017): 172988141769462. http://dx.doi.org/10.1177/1729881417694627.
Повний текст джерелаHayat, Naila, and Muhammad Imran. "Multi-exposure image fusion technique using multi-resolution blending." IET Image Processing 13, no. 13 (November 14, 2019): 2554–61. http://dx.doi.org/10.1049/iet-ipr.2019.0438.
Повний текст джерелаSong, Changho, Soowoong Jeong, and Sangkeun Lee. "Colorful Multi-Exposure Fusion with Guided Filtering based Fusion Method." TECHART: Journal of Arts and Imaging Science 3, no. 4 (November 30, 2016): 27. http://dx.doi.org/10.15323/techart.2016.11.3.4.27.
Повний текст джерелаLIU Xin-long, 刘鑫龙, and 易红伟 YI Hong-wei. "Improved Multi-exposure Image Pyramid Fusion Method." ACTA PHOTONICA SINICA 48, no. 8 (2019): 810002. http://dx.doi.org/10.3788/gzxb20194808.0810002.
Повний текст джерелаBabu, K. Suresh, S. Ali Asgar, Dr V. Thtimurthulu, and MSA Srivatsava. "Multi Exposure Image Fusion based on PCA." International Journal of Engineering Research and Advanced Technology 4, no. 8 (2018): 37–46. http://dx.doi.org/10.31695/ijerat.2018.3296.
Повний текст джерелаYan, Qingsen, Yu Zhu, Yulin Zhou, Jinqiu Sun, Lei Zhang, and Yanning Zhang. "Enhancing image visuality by multi-exposure fusion." Pattern Recognition Letters 127 (November 2019): 66–75. http://dx.doi.org/10.1016/j.patrec.2018.10.008.
Повний текст джерелаAhmad, Attiq, Muhammad Mohsin Riaz, Abdul Ghafoor, and Tahir Zaidi. "Noise Resistant Fusion for Multi-Exposure Sensors." IEEE Sensors Journal 16, no. 13 (July 2016): 5123–24. http://dx.doi.org/10.1109/jsen.2016.2556715.
Повний текст джерелаPaul, Sujoy, Ioana S. Sevcenco, and Panajotis Agathoklis. "Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain." Journal of Circuits, Systems and Computers 25, no. 10 (July 22, 2016): 1650123. http://dx.doi.org/10.1142/s0218126616501231.
Повний текст джерелаShouhong, Chen, Zhao Shuang, Ma Jun, Liu Xinyu, and 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.
Повний текст джерелаBuades, Antoni, Jose Luis Lisani, and Onofre Martorell. "Efficient joint noise removal and multi exposure fusion." PLOS ONE 17, no. 3 (March 25, 2022): e0265464. http://dx.doi.org/10.1371/journal.pone.0265464.
Повний текст джерелаXu, Han, Liang Haochen, and Jiayi Ma. "Unsupervised Multi-Exposure Image Fusion Breaking Exposure Limits via Contrastive Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (June 26, 2023): 3010–17. http://dx.doi.org/10.1609/aaai.v37i3.25404.
Повний текст джерелаZhang, Xingchen. "Benchmarking and comparing multi-exposure image fusion algorithms." Information Fusion 74 (October 2021): 111–31. http://dx.doi.org/10.1016/j.inffus.2021.02.005.
Повний текст джерелаPIAO Yong-jie, 朴永杰, 徐伟 XU Wei, 王绍举 WANG Shao-ju, and 陶淑苹 TAO Shu-ping. "Fast multi-exposure image fusion for HDR video." Chinese Journal of Liquid Crystals and Displays 29, no. 6 (2014): 1032–41. http://dx.doi.org/10.3788/yjyxs20142906.1032.
Повний текст джерелаHan, Dong, Liang Li, Xiaojie Guo, and Jiayi Ma. "Multi-exposure image fusion via deep perceptual enhancement." Information Fusion 79 (March 2022): 248–62. http://dx.doi.org/10.1016/j.inffus.2021.10.006.
Повний текст джерелаXu, Fang, Jinghong Liu, Yueming Song, Hui Sun, and Xuan Wang. "Multi-Exposure Image Fusion Techniques: A Comprehensive Review." Remote Sensing 14, no. 3 (February 7, 2022): 771. http://dx.doi.org/10.3390/rs14030771.
Повний текст джерелаMa, Kede, Kai Zeng, and Zhou Wang. "Perceptual Quality Assessment for Multi-Exposure Image Fusion." IEEE Transactions on Image Processing 24, no. 11 (November 2015): 3345–56. http://dx.doi.org/10.1109/tip.2015.2442920.
Повний текст джерелаZhang, Wenlong, Xiaolin Liu, Wuchao Wang, and Yujun Zeng. "Multi-exposure image fusion based on wavelet transform." International Journal of Advanced Robotic Systems 15, no. 2 (March 2018): 172988141876893. http://dx.doi.org/10.1177/1729881418768939.
Повний текст джерелаChoi, Seungcheol, Oh-Jin Kwon, and 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.
Повний текст джерелаLiu, Yu, and Zengfu Wang. "Dense SIFT for ghost-free multi-exposure fusion." Journal of Visual Communication and Image Representation 31 (August 2015): 208–24. http://dx.doi.org/10.1016/j.jvcir.2015.06.021.
Повний текст джерелаWu, Shengcong, Ting Luo, Yang Song, and Haiyong Xu. "Multi-exposure image fusion based on tensor decomposition." Multimedia Tools and Applications 79, no. 33-34 (June 16, 2020): 23957–75. http://dx.doi.org/10.1007/s11042-020-09131-x.
Повний текст джерелаMartorell, Onofre, Catalina Sbert, and Antoni Buades. "Ghosting-free DCT based multi-exposure image fusion." Signal Processing: Image Communication 78 (October 2019): 409–25. http://dx.doi.org/10.1016/j.image.2019.07.020.
Повний текст джерелаHu, Yunxue, Chao Xu, Zhengping Li, Fang Lei, Bo Feng, Lingling Chu, Chao Nie, and Dou Wang. "Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering." Electronics 11, no. 8 (April 11, 2022): 1211. http://dx.doi.org/10.3390/electronics11081211.
Повний текст джерелаHan, Yongcheng, Wenwen Zhang, and Weiji He. "Low-light image enhancement based on simulated multi-exposure fusion." Journal of Physics: Conference Series 2478, no. 6 (June 1, 2023): 062022. http://dx.doi.org/10.1088/1742-6596/2478/6/062022.
Повний текст джерелаJia, Jinquan, Jian Sun, and Zhiqin Zhu. "A multi-scale patch-wise algorithm for multi-exposure image fusion." Optik 248 (December 2021): 168120. http://dx.doi.org/10.1016/j.ijleo.2021.168120.
Повний текст джерелаLi, Hui, Kede Ma, Hongwei Yong, and 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.
Повний текст джерелаIm, Chan-Gi, Dong-Min Son, Hyuk-Ju Kwon, and Sung-Hak Lee. "Multi-Task Learning Approach Using Dynamic Hyperparameter for Multi-Exposure Fusion." Mathematics 11, no. 7 (March 27, 2023): 1620. http://dx.doi.org/10.3390/math11071620.
Повний текст джерелаBAI Bendu, 白本督, та 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, № 4 (2022): 0410004. http://dx.doi.org/10.3788/gzxb20225104.0410004.
Повний текст джерелаQu, Linhao, Shaolei Liu, Manning Wang, and 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, no. 2 (June 28, 2022): 2126–34. http://dx.doi.org/10.1609/aaai.v36i2.20109.
Повний текст джерелаZhang, Jiebin, Shangyou Zeng, Ying Wang, Jinjin Wang, and Hongyang Chen. "An Efficient Extreme-Exposure Image Fusion Method." Journal of Physics: Conference Series 2137, no. 1 (December 1, 2021): 012061. http://dx.doi.org/10.1088/1742-6596/2137/1/012061.
Повний текст джерелаQi, Yanjie, Zehui Yang, and 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, no. 4 (July 27, 2021): 697–709. http://dx.doi.org/10.3233/xst-210871.
Повний текст джерелаKINOSHITA, Yuma, Sayaka SHIOTA, and Hitoshi KIYA. "A Pseudo Multi-Exposure Fusion Method Using Single Image." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, no. 11 (November 1, 2018): 1806–14. http://dx.doi.org/10.1587/transfun.e101.a.1806.
Повний текст джерелаRyu, Je-Ho, Jong-Han Kim, and 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.
Повний текст джерелаKim, Jong-Han, Je-Ho Ryu, and 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.
Повний текст джерелаSingh, Harbinder, Gabriel Cristobal, Gloria Bueno, Saul Blanco, Simrandeep Singh, P. N. Hrisheekesha, and Nitin Mittal. "Multi-exposure microscopic image fusion-based detail enhancement algorithm." Ultramicroscopy 236 (June 2022): 113499. http://dx.doi.org/10.1016/j.ultramic.2022.113499.
Повний текст джерелаYang, T. T., and P. Y. Fang. "Multi exposure image fusion algorithm based on YCbCr space." IOP Conference Series: Materials Science and Engineering 359 (May 2018): 012002. http://dx.doi.org/10.1088/1757-899x/359/1/012002.
Повний текст джерелаMa, Kede, Zhengfang Duanmu, Hanwei Zhu, Yuming Fang, and 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.
Повний текст джерелаKou, Fei, Zhengguo Li, Changyun Wen, and Weihai Chen. "Edge-preserving smoothing pyramid based multi-scale exposure fusion." Journal of Visual Communication and Image Representation 53 (May 2018): 235–44. http://dx.doi.org/10.1016/j.jvcir.2018.03.020.
Повний текст джерелаRui Shen, I. Cheng, Jianbo Shi, and A. Basu. "Generalized Random Walks for Fusion of Multi-Exposure Images." IEEE Transactions on Image Processing 20, no. 12 (December 2011): 3634–46. http://dx.doi.org/10.1109/tip.2011.2150235.
Повний текст джерелаYang, Yi, Wei Cao, Shiqian Wu, and Zhengguo Li. "Multi-Scale Fusion of Two Large-Exposure-Ratio Images." IEEE Signal Processing Letters 25, no. 12 (December 2018): 1885–89. http://dx.doi.org/10.1109/lsp.2018.2877893.
Повний текст джерелаPeng, Yan-Tsung, He-Hao Liao, and Ching-Fu Chen. "Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction." Sensors 22, no. 1 (December 22, 2021): 24. http://dx.doi.org/10.3390/s22010024.
Повний текст джерелаGao, Mingyu, Junfan Wang, Yi Chen, Chenjie Du, Chao Chen, and Yu Zeng. "An Improved Multi-Exposure Image Fusion Method for Intelligent Transportation System." Electronics 10, no. 4 (February 4, 2021): 383. http://dx.doi.org/10.3390/electronics10040383.
Повний текст джерелаLiu, Jie, and Yuanyuan Peng. "Research on Image Enhancement Algorithm Based on Artificial Intelligence." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012024. http://dx.doi.org/10.1088/1742-6596/2074/1/012024.
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