Improved image recovery from compressed data contaminated with impulsive noise

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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...

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Bibliographic Details
Main Authors:	Pham, DucSon, Venkatesh, Svetha
Format:	Journal Article
Published:	IEEE Signal Processing Society 2011
Subjects:	inverse problems impulsive noise robust statistics Compressed sensing (CS) image compression robust recovery
Online Access:	http://hdl.handle.net/20.500.11937/30022

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