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AADA
2011
14 years 4 months ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
130
Voted
TIP
2008
103views more  TIP 2008»
15 years 4 months ago
Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions
Abstract--This paper studies a family of distributions constructed from multivariate gamma distributions to model the statistical properties of multisensor synthetic aperture radar...
Florent Chatelain, Jean-Yves Tourneret, Jordi Ingl...
127
Voted
SCALESPACE
2009
Springer
15 years 11 months ago
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Flor...
CVPR
2005
IEEE
16 years 6 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
153
Voted
SCALESPACE
2005
Springer
15 years 10 months ago
Image Deblurring in the Presence of Salt-and-Pepper Noise
The problem of image deblurring in the presence of salt and pepper noise is considered. Standard image deconvolution algorithms, that are designed for Gaussian noise, do not perfor...
Leah Bar, Nir A. Sochen, Nahum Kiryati