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» Locally Linear Denoising on Image Manifolds
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CVPR
2003
IEEE
14 years 6 months ago
Learning Appearance and Transparency Manifolds of Occluded Objects in Layers
By mapping a set of input images to points in a lowdimensional manifold or subspace, it is possible to efficiently account for a small number of degrees of freedom. For example, i...
Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
ECCV
2004
Springer
14 years 6 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
DCC
2002
IEEE
14 years 4 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
CVPR
2009
IEEE
2160views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Image Deblurring and Denoising using Color Priors
Image blur and noise are difficult to avoid in many situations and can often ruin a photograph. We present a novel image deconvolution algorithm that deblurs and denoises an ima...
C. Lawrence Zitnick, David J. Kriegman, Neel Joshi...
MM
2006
ACM
203views Multimedia» more  MM 2006»
13 years 10 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian