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» Bayesian Estimation of Layers from Multiple Images
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ICIP
2005
IEEE
14 years 9 months ago
Non-parametric image super-resolution using multiple images
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
VISUALIZATION
1999
IEEE
13 years 12 months ago
Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting
We present a new visualization method for 2d flows which allows us to combine multiple data values in an image for simultaneous viewing. We utilize concepts from oil painting, art...
Robert M. Kirby, H. Marmanis, David H. Laidlaw
ICIP
2010
IEEE
13 years 5 months ago
Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Mohamed Amer, Raviv Raich, Sinisa Todorovic
GRAPHICSINTERFACE
2008
13 years 9 months ago
Background estimation from non-time sequence images
We address the problem of reconstructing the background of a scene from a set of photographs featuring several occluding objects. We assume that the photographs are obtained from ...
Miguel Granados, Hans-Peter Seidel, Hendrik P. A. ...
ICIP
2003
IEEE
14 years 9 months ago
Layer-correlated motion estimation and motion vector coding for the 3D-wavelet video coding
This paper proposes an efficient layer-correlated scheme to reduce the bit cost for motion vectors in the 3D wavelet coding. Previous works show that incorporating motion alignmen...
Lin Luo, Feng Wu, Shipeng Li, Zhenquan Zhuang