Efficient algorithms for robust recovery of images from compressed data
Compressed sensing (CS) is an important theory for sub-Nyquist sampling and recovery of compressible data. Recently, it has been extended to cope with the case where corruption to the CS data is modelled as impulsive noise. The new formulation, termed as robust CS, combines robust statistics and CS...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
IEEE
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/17178 |