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PCM
2010
Springer
175views Multimedia» more  PCM 2010»
13 years 6 months ago
Non-blind Image Deconvolution with Adaptive Regularization
Ringing and noise amplification are the most dominant artifacts in image deconvolution. These artifacts can be reduced by introducing image prior into the deconvolution process. A ...
Jong-Ho Lee, Yo-Sung Ho
ICIP
2006
IEEE
14 years 9 months ago
Active Contour Segmentation with a Parametric Shape Prior: Link with the Shape Gradient
Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a...
Eric Debreuve, Michel Barlaud, Jean-Paul Marmorat,...
ACCV
2006
Springer
14 years 2 months ago
A Multiphase Level Set Based Segmentation Framework with Pose Invariant Shape Priors
Level set based segmentation has been used with and without shape priors, to approach difficult segmentation problems in several application areas. This paper addresses two limita...
Michael Fussenegger, Rachid Deriche, Axel Pinz
CVPR
2005
IEEE
14 years 10 months ago
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering th...
Sami Romdhani, Thomas Vetter
CVPR
2011
IEEE
13 years 3 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth