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» Super-Resolution Using Sub-band Constrained Total Variation
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SCALESPACE
2009
Springer
13 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...
SIGPRO
2010
141views more  SIGPRO 2010»
13 years 3 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
AINA
2010
IEEE
13 years 10 months ago
Mobile Element Path Planning for Time-Constrained Data Gathering in Wireless Sensor Networks
— We consider the problem of gathering data from a sensor network using mobile elements. In particular, we consider the case where the data are produced by measurements and need ...
Khaled Almiani, Anastasios Viglas, Lavy Libman
ICASSP
2011
IEEE
12 years 8 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
TIP
2010
113views more  TIP 2010»
12 years 11 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...