It looks like you're offline.
Open Library logo
additional options menu

MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-013.mrc:74927413:2386
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-013.mrc:74927413:2386?format=raw

LEADER: 02386cam a2200337 a 4500
001 6094457
005 20221121234140.0
008 061222t20062006paua b 001 0 eng
010 $a 2006050450
020 $a0898716187 (pbk.)
020 $a9780898716184
035 $a(OCoLC)ocm70668922
035 $a(DLC) 2006050450
035 $a(NNC)6094457
035 $a6094457
040 $aDLC$cDLC$dYDX$dBAKER$dYDXCP$dDLC$dOrLoB-B
050 00 $aTA1637$b.H364 2006
082 00 $a621.36/7015118$222
100 1 $aHansen, Per Christian.$0http://id.loc.gov/authorities/names/n97097833
245 10 $aDeblurring images :$bmatrices, spectra, and filtering /$cPer Christian Hansen, James G. Nagy, Dianne P. O'Leary.
260 $aPhiladelphia :$bSIAM, Society for Industrial and Applied Mathematics,$c[2006], ©2006.
300 $axiv, 130 pages :$billustrations (some color) ;$c26 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aFundamentals of algorithms
504 $aIncludes bibliographical references (p. 121-125) and index.
505 00 $g1.$tThe image deblurring problem -- $g2.$tManipulating images in MATLAB -- $g3.$tThe blurring function -- $g4.$tStructured matrix computations -- $g5.$tSVD and spectral analysis -- $g6.$tRegularization by spectral filtering -- $g7.$tColor images, smoothing norms, and other topics -- $gApp.$tMATLAB functions.
520 1 $a"Deblurring Images: Matrices, Spectra, and Filtering describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition - or a similar decomposition - is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications." "This book is intended for beginners in the field of image restoration and regularization. Readers should be familiar with basic concepts of linear algebra and matrix computations. A background in signal processing and a familiarity with regularization methods or with ill-posed problems are not needed."--BOOK JACKET.
650 0 $aImage processing$xMathematical models.
830 0 $aFundamentals of algorithms.$0http://id.loc.gov/authorities/names/n2003009311
852 00 $boff,eng$hTA1637$i.H364 2006