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» A game theoretical approach for image denoising
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ICPR
2010
IEEE
13 years 4 months ago
Robust Figure Extraction on Textured Background: A Game-Theoretic Approach
Feature-based image matching relies on the assumption that the features contained in the model are distinctive enough. When both model and data present a sizeable amount of clutte...
Andrea Albarelli, Emanuele Rodolà, Alberto Cavall...
CVPR
2010
IEEE
14 years 1 months ago
Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras
New cameras such as the Canon EOS 7D and Pointgrey Grasshopper have 14-bit sensors. We present a theoretical analysis and a practical approach that exploit these new cameras with ...
Li Zhang, Alok Deshpande, Xin Chen
ICIP
2006
IEEE
14 years 7 months ago
Fast Non-Local Algorithm for Image Denoising
For the non-local denoising approach presented by Buades et al., remarkable denoising results are obtained at high expense of computational cost. In this paper, a new algorithm th...
Jin Wang, Yanwen Guo, Yiting Ying, Yanli Liu, Quns...
ICASSP
2011
IEEE
12 years 9 months ago
An evolutionary game-theoretic approach for image interpolation
In this paper, we study the image interpolation from the game theoretic perspective and formulate the image interpolation problem as an evolutionary game. In this evolutionary gam...
Yan Chen, Yang Gao, K. J. Ray Liu
CVPR
2003
IEEE
13 years 10 months ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo