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» Image Renaissance Using Discrete Optimization
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ICPR
2006
IEEE
14 years 6 months ago
Image Renaissance Using Discrete Optimization
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...
Cédric Allène, Nikos Paragios
MIA
2010
170views more  MIA 2010»
12 years 11 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
PRL
2010
188views more  PRL 2010»
12 years 11 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
EMMCVPR
2011
Springer
12 years 4 months ago
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
Variational relaxations can be used to compute approximate minimizers of optimal partitioning and multiclass labeling problems on continuous domains. While the resulting relaxed co...
Jan Lellmann, Frank Lenzen, Christoph Schnörr
EMMCVPR
2011
Springer
12 years 4 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady