An efficient curvelet Bayesian Network based approach for image denoising
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سال
: 2014شناسه الکترونیک: 10.1109/IVESC.2014.6891983
کلیدواژه(گان): Raman spectra,n cathodes,n electron field emission,n electron microscopy,n graphene,n C,n Raman spectroscopy,n cathode surface,n electron microscopy,n field emitted electrons,n full energy distribution,n graphene-like structures,n retarding potential method,n Cathodes,n Educational institutions,n Graphene,n Materials,n Metals,n Microscopy,n Optical microscopy
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An efficient curvelet Bayesian Network based approach for image denoising
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contributor author | Sharma, P. | |
contributor author | Jain, R.C. | |
contributor author | Nagwani, R. | |
date accessioned | 2020-03-12T22:30:47Z | |
date available | 2020-03-12T22:30:47Z | |
date issued | 2014 | |
identifier other | 7012879.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1085534 | |
format | general | |
language | English | |
publisher | IEEE | |
title | An efficient curvelet Bayesian Network based approach for image denoising | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8223004 | |
subject keywords | Raman spectra | |
subject keywords | n cathodes | |
subject keywords | n electron field emission | |
subject keywords | n electron microscopy | |
subject keywords | n graphene | |
subject keywords | n C | |
subject keywords | n Raman spectroscopy | |
subject keywords | n cathode surface | |
subject keywords | n electron microscopy | |
subject keywords | n field emitted electrons | |
subject keywords | n full energy distribution | |
subject keywords | n graphene-like structures | |
subject keywords | n retarding potential method | |
subject keywords | n Cathodes | |
subject keywords | n Educational institutions | |
subject keywords | n Graphene | |
subject keywords | n Materials | |
subject keywords | n Metals | |
subject keywords | n Microscopy | |
subject keywords | n Optical microscopy | |
identifier doi | 10.1109/IVESC.2014.6891983 | |
journal title | dvances in Engineering and Technology Research (ICAETR), 2014 International Conference on | |
filesize | 369531 | |
citations | 0 |