Improved image recovery from compressed data contaminated with impulsive noise
Compressed sensing (CS) is a new information sampling theory for acquiring sparse or compressible data with much fewer measurements than those otherwise required by the Nyquist/Shannon counterpart. This is particularly important for some imaging applications such as magnetic resonance imaging or in...
| Main Authors: | , |
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| Format: | Journal Article |
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IEEE Signal Processing Society
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/30022 |