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024 7 $a10.1007/978-3-319-00366-5
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035   $a(DE-He213)978-3-319-00366-5
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100   $a20130604d2013      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aCompressed sensing with side information on the feasible region /$fMohammad Rostami
205   $a1st ed. 2013.
210   $aCham [Germany] ;$aNew York $cSpringer$d2013
215   $a1 online resource (77 p.)
225 1 $aSpringer briefs in electrical and computer engineering,$x2191-8112
300   $aDescription based upon print version of record.
311   $a3-319-00365-8 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Compressed Sensing -- Compressed Sensing with Side Information on Feasible Region -- Application: Image Deblurring for Optical Imaging -- Application: Surface Reconstruction in Gradient Field -- Conclusions and Future Work.
330   $aThis book discusses compressive sensing in the presence of side information. Compressive sensing is an emerging technique for efficiently acquiring and reconstructing a signal. Interesting instances of Compressive Sensing (CS) can occur when, apart from sparsity, side information is available about the source signals. The side information can be about the source structure, distribution, etc. Such cases can be viewed as extensions of the classical CS. In these cases we are interested in incorporating the side information to either improve the quality of the source reconstruction or decrease the number of samples required for accurate reconstruction. In this book we assume availability of side information about the feasible region. The main applications investigated are image deblurring for optical imaging, 3D surface reconstruction, and reconstructing spatiotemporally correlated sources. The author shows that the side information can be used to improve the quality of the reconstruction compared to the classic compressive sensing. The book will be of interest to all researchers working on compressive sensing, inverse problems, and image processing.
410  0$aSpringerBriefs in electrical and computer engineering.
606   $aCoding theory
606   $aData compression (Telecommunication)
606   $aSignal processing$xDigital techniques
606   $aSampling (Statistics)
615  0$aCoding theory.
615  0$aData compression (Telecommunication)
615  0$aSignal processing$xDigital techniques.
615  0$aSampling (Statistics)
676   $a005.746
700   $aRostami$b Mohammad$01424814
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910741174903321
996   $aCompressed Sensing with Side Information on the Feasible Region$93554352
997   $aUNINA