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» Sparse Image Reconstruction using Sparse Priors
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ICASSP
2008
IEEE
15 years 10 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
DAS
2010
Springer
15 years 7 months ago
Text extraction from graphical document images using sparse representation
A novel text extraction method from graphical document images is presented in this paper. Graphical document images containing text and graphics components are considered as two-d...
Thai V. Hoang, Salvatore Tabbone
IJON
2008
116views more  IJON 2008»
15 years 3 months ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter
121
Voted
IDA
2009
Springer
15 years 10 months ago
Image Denoising Using Sparse Representations
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
Seyyed Majid Valiollahzadeh, Hamed Firouzi, Massou...
ICPR
2008
IEEE
15 years 10 months ago
Text detection from scene images using sparse representation
A sparse representation based method is proposed for text detection from scene images. We start with edge information extracted using Canny operator and then group these edge poin...
Wumo Pan, Tien D. Bui, Ching Y. Suen