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ICIP
2001
IEEE
15 years 11 months ago
Edge-enhancing super-resolution using anisotropic diffusion
This paper presents an edge-enhancing super-resolution algorithm using anisotropic diffusion technique. Because we solve the super-resolution problem by incorporatinganisotropic d...
Hyunwoo Kim, Jeong-Hun Jang, Ki-Sang Hong
IJISTA
2008
132views more  IJISTA 2008»
14 years 9 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb
ECCV
2010
Springer
15 years 3 months ago
Energy Minimization Under Constraints on Label Counts
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
ICANN
2010
Springer
14 years 10 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
IPMI
2011
Springer
14 years 1 months ago
Nonnegative Factorization of Diffusion Tensor Images and Its Applications
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method...
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri