22 search results - page 1 / 5 » Deblurring Using Regularized Locally Adaptive Kernel Regress... |
TIP
2008
13 years 5 months 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...
ICIP
2008
IEEE
14 years 8 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...
ICPR
2010
IEEE
13 years 10 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...
DAGM
2007
Springer
14 years 1 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...
PAMI
2010
13 years 5 months ago
2010
