Journal articles on the topic 'Denoising Image'
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Rubel, Andrii, Oleksii Rubel, Vladimir Lukin, and Karen Egiazarian. "Decision-making on image denoising expedience." Electronic Imaging 2021, no. 10 (January 18, 2021): 237–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.10.ipas-237.
Full textR. Tripathi, Mr Vijay. "Image Denoising." IOSR Journal of Engineering 1, no. 1 (November 2011): 84–87. http://dx.doi.org/10.9790/3021-0118487.
Full textXu, Shaoping, Xiaojun Chen, Yiling Tang, Shunliang Jiang, Xiaohui Cheng, and Nan Xiao. "Learning from Multiple Instances: A Two-Stage Unsupervised Image Denoising Framework Based on Deep Image Prior." Applied Sciences 12, no. 21 (October 24, 2022): 10767. http://dx.doi.org/10.3390/app122110767.
Full textHuang, Tingsheng, Chunyang Wang, and Xuelian Liu. "Depth Image Denoising Algorithm Based on Fractional Calculus." Electronics 11, no. 12 (June 19, 2022): 1910. http://dx.doi.org/10.3390/electronics11121910.
Full textBertalmío, Marcelo, and Stacey Levine. "Denoising an Image by Denoising Its Curvature Image." SIAM Journal on Imaging Sciences 7, no. 1 (January 2014): 187–211. http://dx.doi.org/10.1137/120901246.
Full textKhan, Aamir, Weidong Jin, Amir Haider, MuhibUr Rahman, and Desheng Wang. "Adversarial Gaussian Denoiser for Multiple-Level Image Denoising." Sensors 21, no. 9 (April 24, 2021): 2998. http://dx.doi.org/10.3390/s21092998.
Full textGavini, Venkateswarlu, and Gurusamy Ramasamy Jothi Lakshmi. "CT Image Denoising Model Using Image Segmentation for Image Quality Enhancement for Liver Tumor Detection Using CNN." Traitement du Signal 39, no. 5 (November 30, 2022): 1807–14. http://dx.doi.org/10.18280/ts.390540.
Full textZhang, Xiangning, Yan Yang, and Lening Lin. "Edge-aware image denoising algorithm." Journal of Algorithms & Computational Technology 13 (October 30, 2018): 174830181880477. http://dx.doi.org/10.1177/1748301818804774.
Full textManjón, José V., Neil A. Thacker, Juan J. Lull, Gracian Garcia-Martí, Luís Martí-Bonmatí, and Montserrat Robles. "Multicomponent MR Image Denoising." International Journal of Biomedical Imaging 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/756897.
Full textBadgainya, Shruti, Prof Pankaj Sahu, and Prof Vipul Awasthi. "Image Denoising by OWT for Gaussian Noise Corrupted Images." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 2477–84. http://dx.doi.org/10.31142/ijtsrd18337.
Full textРубель, Андрей Сергеевич, and Владимир Васильевич Лукин. "АНАЛИЗ И ПРОГНОЗИРОВАНИЕ ЭФФЕКТИВНОСТИ ФИЛЬТРАЦИИ С ИСПОЛЬЗОВАНИЕМ БЕЗЭТАЛОННЫХ МЕР ВИЗУАЛЬНОГО КАЧЕСТВА ИЗОБРАЖЕНИЙ." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 23, 2018): 4–14. http://dx.doi.org/10.32620/reks.2018.1.01.
Full textChen, Juan, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng, and Lei Dong. "A Novel Adaptive Group Sparse Representation Model Based on Infrared Image Denoising for Remote Sensing Application." Applied Sciences 13, no. 9 (May 6, 2023): 5749. http://dx.doi.org/10.3390/app13095749.
Full textKaur, Roopdeep, Gour Karmakar, and Muhammad Imran. "Impact of Traditional and Embedded Image Denoising on CNN-Based Deep Learning." Applied Sciences 13, no. 20 (October 22, 2023): 11560. http://dx.doi.org/10.3390/app132011560.
Full textTan, Hanlin, Huaxin Xiao, Yu Liu, and Maojun Zhang. "Two-Stage CNN Model for Joint Demosaicing and Denoising of Burst Bayer Images." Computational Intelligence and Neuroscience 2022 (April 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/6200931.
Full textGoyal, Bhawna, Ayush Dogra, Sunil Agrawal, and B. S. Sohi. "A Survey on the Image Denoising to Enhance Medical Images." Biosciences, Biotechnology Research Asia 15, no. 3 (September 3, 2018): 501–7. http://dx.doi.org/10.13005/bbra/2655.
Full textZhang, Wen-Li, Jing-Yue Zheng, Kun Liang, Ke-Fan Chen, Jian-Hai Zhao, Jian-Qiang Liu, Yi Wang, and Yu-Xin Qin. "Research on Block Matching Three-Dimensional Cooperative Filtering Optical Image Denoising Algorithm Based on Noise Estimation." Journal of Nanoelectronics and Optoelectronics 16, no. 11 (November 1, 2021): 1711–19. http://dx.doi.org/10.1166/jno.2021.3132.
Full textQi, Guanqiu, Gang Hu, Neal Mazur, Huahua Liang, and Matthew Haner. "A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation." Computers 10, no. 10 (October 13, 2021): 129. http://dx.doi.org/10.3390/computers10100129.
Full textIsmael, Ahmed Abdulmaged, and Muhammet Baykara. "Digital Image Denoising Techniques Based on Multi-Resolution Wavelet Domain with Spatial Filters: A Review." Traitement du Signal 38, no. 3 (June 30, 2021): 639–51. http://dx.doi.org/10.18280/ts.380311.
Full textHe, Shuang Shuang, Yuan Yuan Jiang, and Jin Yan Zheng. "A Novel Image Denoising Method in 2-D Fractional Time-Frequency Domain." Applied Mechanics and Materials 734 (February 2015): 586–89. http://dx.doi.org/10.4028/www.scientific.net/amm.734.586.
Full textZou, XiuFang, Dingju Zhu, Jun Huang, Wei Lu, Xinchu Yao, and Zhaotong Lian. "WGAN-Based Image Denoising Algorithm." Journal of Global Information Management 30, no. 9 (January 2022): 1–20. http://dx.doi.org/10.4018/jgim.300821.
Full textA.S.C.S.Sastry, P.V.V.Kishore MIEE, Ch Raghava Prasad, and M.V.D.Prasad. "Denoising Ultrasound Medical Images." International Journal of Measurement Technologies and Instrumentation Engineering 5, no. 1 (January 2015): 1–14. http://dx.doi.org/10.4018/ijmtie.2015010101.
Full textLiu, Yang, Saeed Anwar, Zhenyue Qin, Pan Ji, Sabrina Caldwell, and Tom Gedeon. "Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network." Sensors 22, no. 24 (December 14, 2022): 9844. http://dx.doi.org/10.3390/s22249844.
Full textZhou, Ying, Chao Ren, Shengguo Zhang, Xiaoqin Xue, Yuanyuan Liu, Jiakai Lu, and Cong Ding. "A Second-Order Method for Removing Mixed Noise from Remote Sensing Images." Sensors 23, no. 17 (August 30, 2023): 7543. http://dx.doi.org/10.3390/s23177543.
Full textJebur, Rusul Sabah, Mohd Hazli Bin Mohamed Zabil, Dalal Abdulmohsin Hammood, Lim Kok Cheng, and Ali Al-Naji. "Image Denoising Using Hybrid Deep Learning Approach and Self-Improved Orca Predation Algorithm." Technologies 11, no. 4 (August 12, 2023): 111. http://dx.doi.org/10.3390/technologies11040111.
Full textHua, Gang, and Daihong Jiang. "A New Method of Image Denoising for Underground Coal Mine Based on the Visual Characteristics." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/362716.
Full textTan, Yi, Jin Fan, Dong Sun, Qingwei Gao, and Yixiang Lu. "Multi-scale Image Denoising via a Regularization Method." Journal of Physics: Conference Series 2253, no. 1 (April 1, 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2253/1/012030.
Full textZhou, Shiwei, Yu-Hen Hu, and Hongrui Jiang. "Multi-View Image Denoising Using Convolutional Neural Network." Sensors 19, no. 11 (June 7, 2019): 2597. http://dx.doi.org/10.3390/s19112597.
Full textOyebode, Kazeem Oyeyemi. "Investigating a Denoising Approach to an Improved Otsu Segmentation on Cell Images." Journal of Biomimetics, Biomaterials and Biomedical Engineering 33 (July 2017): 59–64. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.33.59.
Full textZhang, Haoming, Yue Qi, Xiaoting Xue, and Yahui Nan. "Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks." Discrete Dynamics in Nature and Society 2021 (December 20, 2021): 1–11. http://dx.doi.org/10.1155/2021/7675611.
Full textHartbauer, Manfred. "A Simple Denoising Algorithm for Real-World Noisy Camera Images." Journal of Imaging 9, no. 9 (September 18, 2023): 185. http://dx.doi.org/10.3390/jimaging9090185.
Full textPriyanka, Steffi, and Yuan-Kai Wang. "Fully Symmetric Convolutional Network for Effective Image Denoising." Applied Sciences 9, no. 4 (February 22, 2019): 778. http://dx.doi.org/10.3390/app9040778.
Full textLiang, Dong Tai. "Color Image Denoising Using Gaussian Multiscale Multivariate Image Analysis." Applied Mechanics and Materials 37-38 (November 2010): 248–52. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.248.
Full textAli, Mohammed Nabih. "A wavelet-based method for MRI liver image denoising." Biomedical Engineering / Biomedizinische Technik 64, no. 6 (December 18, 2019): 699–709. http://dx.doi.org/10.1515/bmt-2018-0033.
Full textGopatoti, Anandbabu, Merajothu Chandra Naik, and Kiran Kumar Gopathoti. "Convolutional Neural Network Based Image Denoising for Better Quality of Images." International Journal of Engineering & Technology 7, no. 3.27 (August 15, 2018): 356. http://dx.doi.org/10.14419/ijet.v7i3.27.17972.
Full textChoubey, Shruti Bhargava, and S. P. V. Subba Rao. "Implementation of hybrid filter technique for noise removal from medical images." International Journal of Engineering & Technology 7, no. 1.1 (December 21, 2017): 25. http://dx.doi.org/10.14419/ijet.v7i1.1.8917.
Full textYang, Fangjia, Shaoping Xu, and Chongxi Li. "Boosting of Denoising Effect with Fusion Strategy." Applied Sciences 10, no. 11 (June 1, 2020): 3857. http://dx.doi.org/10.3390/app10113857.
Full textYuan, Quan, Zhenyun Peng, Zhencheng Chen, Yanke Guo, Bin Yang, and Xiangyan Zeng. "Medical Image Denoising Algorithm Based on Sparse Nonlocal Regularized Weighted Coding and Low Rank Constraint." Scientific Programming 2021 (June 7, 2021): 1–6. http://dx.doi.org/10.1155/2021/7008406.
Full textFeng, Yayuan, Yu Shi, and Dianjun Sun. "Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior." Mathematical Problems in Engineering 2020 (August 24, 2020): 1–15. http://dx.doi.org/10.1155/2020/9483521.
Full textQi, Min, Zuo Feng Zhou, Jing Liu, Jian Zhong Cao, Hao Wang, A. Qi Yan, Deng Shan Wu, Hui Zhang, and Li Nao Tang. "Image Denoising Algorithm via Spatially Adaptive Bilateral Filtering." Advanced Materials Research 760-762 (September 2013): 1515–18. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1515.
Full textJin, Yan, Wenyu Jiang, Jianlong Shao, and Jin Lu. "An Improved Image Denoising Model Based on Nonlocal Means Filter." Mathematical Problems in Engineering 2018 (July 4, 2018): 1–12. http://dx.doi.org/10.1155/2018/8593934.
Full textMalar, E., A. Kandaswamy, S. S. Kirthana, D. Nivedhitha, and M. Gauthaam. "Curvelet image denoising of mammogram images." International Journal of Medical Engineering and Informatics 5, no. 1 (2013): 60. http://dx.doi.org/10.1504/ijmei.2013.051665.
Full textWang, Feng, Weichuan Ni, Shaojiang Liu, Zhiming Xu, Zemin Qiu, and Zhiping Wan. "A 2D image 3D reconstruction function adaptive denoising algorithm." PeerJ Computer Science 9 (October 3, 2023): e1604. http://dx.doi.org/10.7717/peerj-cs.1604.
Full textGhafar, Abdul, and Usman Sattar. "Convolutional Autoencoder for Image Denoising." UMT Artificial Intelligence Review 1, no. 2 (December 31, 2021): 1–11. http://dx.doi.org/10.32350/air.0102.01.
Full textHu, Yong, Shaoping Xu, Xiaohui Cheng, Changfei Zhou, and Yufeng Hu. "A Triple Deep Image Prior Model for Image Denoising Based on Mixed Priors and Noise Learning." Applied Sciences 13, no. 9 (April 23, 2023): 5265. http://dx.doi.org/10.3390/app13095265.
Full textPhan, Tran Dang Khoa. "A multi-stage algorithm for image denoising based on PCA and adaptive TV-regularization." Cybernetics and Physics, Volume 10, 2021, Number 3 (November 30, 2021): 162–70. http://dx.doi.org/10.35470/2226-4116-2021-10-3-162-170.
Full textPark, Yunjin, Sukho Lee, Byeongseon Jeong, and Jungho Yoon. "Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network." Sensors 20, no. 10 (May 24, 2020): 2970. http://dx.doi.org/10.3390/s20102970.
Full textHossain, Sadat, and Bumshik Lee. "NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image Noise." Sensors 23, no. 1 (December 26, 2022): 251. http://dx.doi.org/10.3390/s23010251.
Full textTalebi, Hossein, and Peyman Milanfar. "Global Image Denoising." IEEE Transactions on Image Processing 23, no. 2 (February 2014): 755–68. http://dx.doi.org/10.1109/tip.2013.2293425.
Full textKnaus, Claude, and Matthias Zwicker. "Progressive Image Denoising." IEEE Transactions on Image Processing 23, no. 7 (July 2014): 3114–25. http://dx.doi.org/10.1109/tip.2014.2326771.
Full textChen, Yan, and K. J. Ray Liu. "Image Denoising Games." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 10 (October 2013): 1704–16. http://dx.doi.org/10.1109/tcsvt.2013.2255433.
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