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131篇 您的检索式:作者名="GALATSANOS N"
    题名 作者 年代 出处 被引量
1Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images显示文摘Woods N A Galatsanos N P Katsaggelos A K 2006IEEE Transactions on Image Processing2006,15,1:1
2Superresolution based on fast registration and maximum a posteriori reconstruction显示文摘Chantas G K Galatsanos N P Woods N A 0,,07:1
3Methods for choosing the regularization parmneter and estimating the noise variance in image restoration and their relation显示文摘N P Galatsanos A K KAtsaggelos 1992IEEE Trans1992,1,3:1
4Removal of compression artifacts using projections onto convex sets and line process modeling显示文摘Yang Y Galatsanos N P 1997IEEE Trans Image Process1997,6,10:1
5A spatially constrained mixture model for image segmentation显示文摘Blekas K Likas A Galatsanos N P 2005IEEE Trans on Neural Networks2005,16,2:1
6Stochastic methods for joint registration, restoration, and interpola- tion of multiple undersampled images显示文摘Woods N A Galatsanos N P Katsaggelos A K 2006IEEE Transac- tions on Image Processing2006,15,1:1
7A Spatially Constrained Mixture Model for Image Segmentation显示文摘Blekas K Likask A Galatsanos N P 2005IEEE Transactions on Neural Networks2005,16,2:1
8Digital watermarking robust to geometric distortions显示文摘DONG Ping BRANKOV J G GALATSANOS N P 2005IEEE Transactions on Image Processing2005,14,12:1
9Variational bayesian sparse kernel-based blind image deconvolution with student's-t priors 显示文摘D Tzikas A Likas N Galatsanos 2009IEEE Transactions on2009,19,4:1
10A spatially- constrained mixture model for image segmentation 显示文摘Blekas K Likas A Galatsanos N P 2005IEEE Transactions on Neural Networks2005,16,2:1
11Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation 显示文摘Galatsanos N P Katsaggelos A K 1992IEEE Transactions on Image Processing1992,1,3:1
12Digital Watermarking Robust to Geometric Distortions 显示文摘PING Dong Brankov J G Galatsanos N P 2005IEEE Transactions On Image Processing2005,14,12:1
13Variational Bayesian image restoration with a product of spatially weighted total variation image priors显示文摘Chantas G Galatsanos N P Molina R 2010IEEE Transactions on Image Processing2010,19,2:1
14A class-adaptive spatially variant mixture model for image segmentation显示文摘NIKOU C GALATSANOS N P LIKAS C L 2007Image Processing IEEE Transactions on2007,16,4:1
15Digital watermarking ro- bust to geometric distortions 显示文摘Dong P Brankov J G Galatsanos N P 2005IEEE Transactions on Image Process- ing2005,14,12:1
16Digi- tal Watermarking Robust to Geometric Distortions显示文摘DONG Ping BRANKOV J G GALATSANOS N P 2005IEEE Transactions on Image Processing2005,14,12:1
17Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation显示文摘Galatsanos N P Katsaggelos A K 1992IEEE Trans Acoust Speech Signal Processing1992,1,7:1
18Sparse Bayesian Modeling with Adaptive Kernel Learning 显示文摘D G Tzikas AC Likas N P Galatsanos 2009IEEE Transactions on Neural Networks2009,20,6:1
19New additive watermark detectors based on a hierarchical spatially adaptiveimage model 显示文摘Mairgiotis A K Galatsanos N P Yang Y 2008IEEE Transactions on Information Foren-sics and Security2008,3,1:1
20Regularized constrained total least squares image restoration 显示文摘Mesarovic V Z Galatsanos N P Katsaggelos A K 1995IEEE Transactions on Image Processing1995,4,8:1
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