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» Image Reconstruction by Linear Programming
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148
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CVPR
2012
IEEE
13 years 5 months ago
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
Ali Borji, Laurent Itti
120
Voted
CVPR
2010
IEEE
15 years 11 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
109
Voted
ICIP
2003
IEEE
16 years 4 months ago
Sparse decompositions in "incoherent" dictionaries
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse representations of signals/images in a union of two orthonormal bases. We conside...
Morten Nielsen, Rémi Gribonval
104
Voted
VC
2010
122views more  VC 2010»
15 years 28 days ago
Nonhomogeneous scaling optimization for realtime image resizing
We present a novel approach for interactive content-aware image resizing. The resizing is performed on warping a triangular mesh over the image, which captures the image saliency i...
Yong Jin, Ligang Liu, Qingbiao Wu
134
Voted
CVPR
2008
IEEE
16 years 4 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...