22 search results - page 1 / 5 » Deblurring Using Regularized Locally Adaptive Kernel Regress... |
145
Voted
TIP
2008
15 years 6 days ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
116
Voted
ICIP
2008
IEEE
16 years 3 months ago
2008
IEEE
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
136
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ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
109
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DAGM
2007
Springer
15 years 8 months ago
2007
Springer
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
101
Voted
PAMI
2010
15 years 5 days ago
2010
