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» A Content-Aware Image Prior
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TIP
2010
108views more  TIP 2010»
13 years 6 months ago
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing
Abstract—In this paper, we introduce a reconstruction framework that explicitly accounts for image geometry when defining the spatial interaction between pixels in the filterin...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICCV
2011
IEEE
12 years 8 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
ICPR
2008
IEEE
14 years 2 months ago
A new global shape prior for level set based segmentation
The global shape prior knowledge has been exploited by many image segmentation approaches in order to improve segmentation results when there are such problems as occlusion, clutt...
Lei Zhang, Qiang Ji
TIP
2008
213views more  TIP 2008»
13 years 6 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
CVPR
2005
IEEE
14 years 10 months ago
Interactive Graph Cut Based Segmentation with Shape Priors
Interactive or semi-automatic segmentation is a useful alternative to pure automatic segmentation in many applications. While automatic segmentation can be very challenging, a sma...
Daniel Freedman, Tao Zhang