Efficient algorithms for robust recovery of images from compressed data

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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...

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Bibliographic Details
Main Authors:	Pham, DucSon, Venkatesh, S.
Format:	Journal Article
Published:	IEEE 2013
Subjects:	compressed sensing optimization approximation algorithms
Online Access:	http://hdl.handle.net/20.500.11937/17178

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