120 search results - page 8 / 24 » Regularized Interpolation for Noisy Data |
TMI
2010
13 years 8 months ago
2010
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpain...
ICIP
2009
IEEE
13 years 7 months ago
2009
IEEE
We present a new method to jointly perform deblurring and colordemosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid ...
NIPS
1996
13 years 11 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...