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ECCV
2000
Springer
15 years 11 months ago
Shape and Radiance Estimation from the Information-Divergence of Blurred Images
We formulate the problem of reconstructing the shape and radiance of a scene as the minimization of the information divergence between blurred images, and propose an algorithm that...
Paolo Favaro, Stefano Soatto
JMLR
2010
147views more  JMLR 2010»
14 years 4 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
TIP
1998
125views more  TIP 1998»
14 years 9 months ago
Additive vector decoding of transform coded images
—In a standard transform coding scheme of images or video, the decoder can be implemented by a table-lookup technique without the explicit use of an inverse transformation. In th...
Siu-Wai Wu, Allen Gersho
IEEECGIV
2006
IEEE
15 years 3 months ago
3D Images Compression for Multi-View Auto-Stereoscopic Displays
As auto-stereoscopic displays offer more and more different possible views, the problem of the size of the data to display is becoming more and more urging. If many 3D images com...
B. Kaufmann, M. Akil
ICIP
2005
IEEE
15 years 11 months ago
Improving frequency domain super-resolution via undersampling model
The super-resolution problem is considered using a meansquared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. Whil...
Ryan S. Prendergast, Truong Q. Nguyen