Добірка наукової літератури з теми "Multi channel restoration"
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Статті в журналах з теми "Multi channel restoration"
PAI, Hung-Ta, Alan C. BOVIK, and Brian L. EVANS. "Multi-Channel Blind Image Restoration." Turkish Journal of Electrical Engineering and Computer Sciences 5, no. 1 (January 1, 1997): 79–97. http://dx.doi.org/10.55730/1300-0632.3773.
Повний текст джерелаKong, Yanfen, Caiyue Zhou, Chuanyong Zhang, Lin Sun, and Chongbo Zhou. "Multi-Color Channels Based Group Sparse Model for Image Restoration." Algorithms 15, no. 6 (May 24, 2022): 176. http://dx.doi.org/10.3390/a15060176.
Повний текст джерелаEL-KHAMY, S. E., E. M. SAAD, M. M. HADHOUD, M. I. DESSOUKY, A. M. ABBAS, and F. E. ABD EL-SAMIE. "A MODIFIED WIENER FILTER FOR MULTI-FRAME RESTORATION OF BLURRED AND NOISY IMAGES." International Journal of Information Acquisition 02, no. 02 (June 2005): 123–35. http://dx.doi.org/10.1142/s0219878905000490.
Повний текст джерелаLi, Sanqian, Binjie Qin, Jing Xiao, Qiegen Liu, Yuhao Wang, and Dong Liang. "Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration." IEEE Transactions on Image Processing 29 (2020): 142–56. http://dx.doi.org/10.1109/tip.2019.2931240.
Повний текст джерелаZhang, Minghui, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, and Qiegen Liu. "Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration." IEEE Access 7 (2019): 150082–92. http://dx.doi.org/10.1109/access.2019.2946994.
Повний текст джерелаTan, Lu, Wanquan Liu, and Zhenkuan Pan. "Color image restoration and inpainting via multi-channel total curvature." Applied Mathematical Modelling 61 (September 2018): 280–99. http://dx.doi.org/10.1016/j.apm.2018.04.017.
Повний текст джерелаYang, Huizhen, Songheng Li, Jinlong Liu, Xue Han, and Zhiguang Zhang. "Multi-Channel Blind Restoration of Mixed Noise Images under Atmospheric Turbulence." Atmosphere 13, no. 11 (November 5, 2022): 1842. http://dx.doi.org/10.3390/atmos13111842.
Повний текст джерелаZhu, Min Yun, Feng Su, and Wu Jing Li. "Improved Multi-Scale Retinex Approaches for Color Image Enhancement." Applied Mechanics and Materials 39 (November 2010): 32–37. http://dx.doi.org/10.4028/www.scientific.net/amm.39.32.
Повний текст джерелаNAGALI, ELEONORA, FABIO SCIARRINO, FRANCESCO DE MARTINI, MIROSLAV GAVENDA, and RADIM FILIP. "EXPERIMENTAL ENTANGLEMENT RESTORATION ON NOISY CHANNELS BY MEASURING ENVIRONMENT." International Journal of Quantum Information 07, supp01 (January 2009): 1–8. http://dx.doi.org/10.1142/s0219749909004918.
Повний текст джерелаFateh, Rachid, Anouar Darif, and Said Safi. "Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method." Journal of Telecommunictions and Information Technology 4, no. 2021 (December 30, 2021): 1–11. http://dx.doi.org/10.26636/jtit.2021.151621.
Повний текст джерелаДисертації з теми "Multi channel restoration"
Lin, Han. "Audio restoration methods applied to multi-channel wireless audio." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612270.
Повний текст джерелаChouikhi, Samira. "Tolérance aux pannes dans un réseau de capteurs sans fil multi-canal." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1031/document.
Повний текст джерелаThe development in Micro Electro-Mechanic Systems (MEMS) combined with the emergence of new information and communication technologies allowed the integration of the data sensing, processing and transmission in a single tiny device which is the wireless sensor. Consequently, the networks formed by these sensors offer a lot advantages compared with the traditional networks, in particular in terms of the deployment simplicity and cost. This led to the development of a wide range of Wireless Sensor Networks' applications in the domains of health, environment, industry, infrastructures, spatial activities, or even military activities and in many other domains. However, new challenges appear from the particular characteristics of these networks. In fact, many applications of this type of networks are critical and require that the correct functioning of the network is maintained as long as possible. However, the environments in which these networks are deployed return the mission of network maintenance very complicated or even impossible; hence, the necessity of integrating mechanisms of self-correction which aim to overcome the appeared problems without a human intervention. In this context, we focused our study on the techniques and mechanisms implemented to improve the property of fault tolerance in the wireless sensor networks. First, we proposed centralized and distributed approaches for the connectivity restoration and the channel reallocation in a multi-channel communication context after the failure of a critical node. After the formulation of the problem as a multi-objective optimization problem, we proposed some algorithms based on the heuristics of graphs coloring and Steiner tree, very known in the graph theory to solve this type of problems. In a second part in this thesis, we studied a particular application case, precision agriculture, and we proposed a distributed solution for the failure recovery in wireless sensor networks
Horng, Liaw Jyh, and 廖志宏. "Restoration and Identification of Multi-channel Image." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/83128347502041169363.
Повний текст джерела國立臺灣科技大學
工程技術研究所
82
In this thesis, multi-channel (MC) image identification and restoration are addressed. In MC image restoration, cross- channel correlations and cross-channel blurs are exploited to achieve a better restored image than the result from single- channel (SC) restoration filters. Computationwise, MC restoration increases the complexity only slightly because 3x3 matrices are the major entities encounted in the computation. In this thesis, pseudo-inverse and Wiener filters are tested. Various MC spectral estimation techniques are used to obtain the image spectrum for the use in the Wiener filter. In image identification, The blur and noise statistics that the degradation of an image is to be estimated. So for the image identification found in the literature has been exclusively on single-channel cases. In this thesis, we try to do MC image identification, where cross-channel blurs are part of the to be estimated. We apply the EM (expectation-maximization) to compute the ML (maximum-likelihood) estimates of the relevant In the frequency domain, the MC identification only needs to matrices, which is simple in computation.
Samarasinghe, Devanarayanage Pradeepa. "Efficient methodologies for real-time image restoration." Phd thesis, 2011. http://hdl.handle.net/1885/9859.
Повний текст джерелаКниги з теми "Multi channel restoration"
Madliger, Christine L., Craig E. Franklin, Oliver P. Love, and Steven J. Cooke, eds. Conservation Physiology. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198843610.001.0001.
Повний текст джерелаRussell-Smith, Jeremy, Peter Whitehead, and Peter Cooke, eds. Culture, Ecology and Economy of Fire Management in North Australian Savannas. CSIRO Publishing, 2009. http://dx.doi.org/10.1071/9780643098299.
Повний текст джерелаЧастини книг з теми "Multi channel restoration"
Gnacadja, Luc, and Liesl Wiese. "Land Degradation Neutrality: Will Africa Achieve It? Institutional Solutions to Land Degradation and Restoration in Africa." In Climate Change and Multi-Dimensional Sustainability in African Agriculture, 61–95. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41238-2_5.
Повний текст джерелаBlack, Jasmine E., Chris Short, and Jenny Phelps. "Water with Integrated Local Delivery (WILD) for Transformative Change in Socio-Ecological Management." In Fostering Transformative Change for Sustainability in the Context of Socio-Ecological Production Landscapes and Seascapes (SEPLS), 155–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6761-6_9.
Повний текст джерелаCoelho, Karen. "Water’s Edge Urbanisms along the Buckingham Canal in Chennai." In River Cities in Asia. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463721851_ch09.
Повний текст джерела"Effects of Urbanization on Stream Ecosystems." In Effects of Urbanization on Stream Ecosystems, edited by Terry M. Short, Elise M. P. Giddings, Humbert Zappia, and James F. Coles. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569735.ch18.
Повний текст джерелаOikonomou, Kostas N., Rakesh K. Sinha, and Robert D. Doverspike. "Multi-Layer Network Performance and Reliability Analysis." In Networking and Telecommunications, 167–93. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch014.
Повний текст джерелаMadliger, Christine L., Oliver P. Love, Steven J. Cooke, and Craig E. Franklin. "The history, goals, and application of conservation physiology." In Conservation Physiology, 1–16. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198843610.003.0001.
Повний текст джерелаChiagozie, Ononiwu Gordon, Kennedy Chinedu Okafor, and Nwaokolo F I. "Robotic Expert System for Energy Management in Distributed Grid Ecosystem." In Research Anthology on Smart Grid and Microgrid Development, 736–63. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3666-0.ch032.
Повний текст джерелаHerbert, James. "Board to Council." In Creating the AHRC. British Academy, 2008. http://dx.doi.org/10.5871/bacad/9780197264294.003.0011.
Повний текст джерелаHenry, Beverley, Ram Dalal, Matthew Tom Harrison, and Brian Keating. "Creating frameworks to foster soil carbon sequestration." In Understanding and fostering soil carbon sequestration. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2022.0106.25.
Повний текст джерела"Managing Centrarchid Fisheries in Rivers and Streams." In Managing Centrarchid Fisheries in Rivers and Streams, edited by Travis R. Ingram, Steven M. Sammons, Adam J. Kaeser, Rachel A. Katz, and Sean C. Sterrett. American Fisheries Society, 2019. http://dx.doi.org/10.47886/9781934874523.ch11.
Повний текст джерелаТези доповідей конференцій з теми "Multi channel restoration"
Liu, Yinhong, and Simon Godsill. "Multi-channel audio statistical restoration." In 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2020. http://dx.doi.org/10.1109/icspcc50002.2020.9259487.
Повний текст джерелаGravelding, Mark O., Jason J. Lannie, and Edward G. Schaper. "Multi-Component Stream Channel Remediation and Restoration Approach." In Wetlands Engineering and River Restoration Conference 2001. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40581(2001)117.
Повний текст джерелаWirawan, Pierre Duhamel, and Henri Maitre. "Multi-channel high resolution blind image restoration." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99. IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.757529.
Повний текст джерелаChouikhi, Samira, Ines El Korbi, Yacine Ghamri-Doudane, and Leila Azouz Saidane. "Connectivity Restoration in Multi-Channel Wireless Sensor Networks." In 2015 International Conference on Protocol Engineering (ICPE) and International Conference on New Technologies of Distributed Systems (NTDS). IEEE, 2015. http://dx.doi.org/10.1109/notere.2015.7293503.
Повний текст джерелаGalatsanos, N. P., A. K. Katsaggelos, R. T. Chin, and A. Hillery. "Two methods for least squares multi-channel image restoration." In [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1991. http://dx.doi.org/10.1109/icassp.1991.150911.
Повний текст джерелаNing, Taikang, Sagar Bhandari, and Nikolay A. Atanasov. "Restoration of multi-channel spectral estimation affected by sampling jitters." In 2007 IEEE 33rd Annual Northeast Bioengineering Conference. IEEE, 2007. http://dx.doi.org/10.1109/nebc.2007.4413312.
Повний текст джерела"USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION." In Bayesian Approach for Inverse Problems in Computer Vision. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001091405650570.
Повний текст джерелаChen, Zhitao, Jin Liu, Zhilei Ren, Zhentao Zhang, Huizhe Yang, and Yonghui Liang. "A multi-channel joint restoration algorithm based on imaging Shack-Hartmann wave-front sensor." In Conference on Telescopes, Space Optics and Instrumentation, edited by Ziyang Zhang and Suijian Xue. SPIE, 2020. http://dx.doi.org/10.1117/12.2579445.
Повний текст джерелаZentner, John. "Flood Control and Wetland Restoration: Meeting Environmental and Drainage Requirements for Multi-Objective Channels." In Wetlands Engineering and River Restoration Conference 1998. Reston, VA: American Society of Civil Engineers, 1998. http://dx.doi.org/10.1061/40382(1998)101.
Повний текст джерелаPREDA, Elena, Simona BARA, and Gabriel POPESCU. "INTEGRATED PARKS OF ECOLOGICAL RESTORATION – A SUSTAINABLE DEVELOPMENT TOOL FOR PUBLIC AUTHORITIES, BUSINESSES AND INVESTORS." In Competitiveness of Agro-Food and Environmental Economy. Editura ASE, 2022. http://dx.doi.org/10.24818/cafee/2020/9/05.
Повний текст джерелаЗвіти організацій з теми "Multi channel restoration"
Pretari, Alexia. Resilience in North East Ghana: Impact Evaluation of the Climate Resilient Agricultural and Food Systems (CRAFS) project. Oxfam GB, October 2019. http://dx.doi.org/10.21201/2019.5235.
Повний текст джерела