Sparse image and signal processing: wavelets and related geometric multiscale analysis
This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology o...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2015
|
Ausgabe: | Second edition |
Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xix, 428 pages) |
ISBN: | 9781316104514 |
DOI: | 10.1017/CBO9781316104514 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV043940371 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 161206s2015 |||| o||u| ||||||eng d | ||
020 | |a 9781316104514 |c Online |9 978-1-316-10451-4 | ||
024 | 7 | |a 10.1017/CBO9781316104514 |2 doi | |
035 | |a (ZDB-20-CBO)CR9781316104514 | ||
035 | |a (OCoLC)967600744 | ||
035 | |a (DE-599)BVBBV043940371 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-12 |a DE-92 | ||
082 | 0 | |a 621.36/7 |2 23 | |
100 | 1 | |a Starck, Jean-Luc |e Verfasser |4 aut | |
245 | 1 | 0 | |a Sparse image and signal processing |b wavelets and related geometric multiscale analysis |c Jean-Luc Starck, Fionn Murtagh, Jalal Fadili |
246 | 1 | 3 | |a Sparse Image & Signal Processing |
250 | |a Second edition | ||
264 | 1 | |a Cambridge |b Cambridge University Press |c 2015 | |
300 | |a 1 online resource (xix, 428 pages) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
505 | 8 | |a Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- Multiscale geometric transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Dictionary learning -- Three-dimensional sparse representations -- Multiscale geometric analysis on the sphere -- Compressed sensing -- This book's take home message | |
520 | |a This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications | ||
650 | 4 | |a Transformations (Mathematics) | |
650 | 4 | |a Signal processing | |
650 | 4 | |a Image processing | |
650 | 4 | |a Sparse matrices | |
650 | 4 | |a Wavelets (Mathematics) | |
650 | 0 | 7 | |a Wavelet |0 (DE-588)4215427-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Bildübertragung |0 (DE-588)4145457-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Nachrichtenübertragungstechnik |0 (DE-588)4139364-8 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Nachrichtenübertragungstechnik |0 (DE-588)4139364-8 |D s |
689 | 0 | 1 | |a Bildübertragung |0 (DE-588)4145457-1 |D s |
689 | 0 | 2 | |a Wavelet |0 (DE-588)4215427-3 |D s |
689 | 0 | |8 1\p |5 DE-604 | |
700 | 1 | |a Murtagh, Fionn |e Sonstige |4 oth | |
700 | 1 | |a Fadili, Jalal |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-1-107-08806-1 |
856 | 4 | 0 | |u https://doi.org/10.1017/CBO9781316104514 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-20-CBO | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-029349341 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
966 | e | |u https://doi.org/10.1017/CBO9781316104514 |l BSB01 |p ZDB-20-CBO |q BSB_PDA_CBO |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1017/CBO9781316104514 |l FHN01 |p ZDB-20-CBO |q FHN_PDA_CBO |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804176880831561728 |
---|---|
any_adam_object | |
author | Starck, Jean-Luc |
author_facet | Starck, Jean-Luc |
author_role | aut |
author_sort | Starck, Jean-Luc |
author_variant | j l s jls |
building | Verbundindex |
bvnumber | BV043940371 |
collection | ZDB-20-CBO |
contents | Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- Multiscale geometric transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Dictionary learning -- Three-dimensional sparse representations -- Multiscale geometric analysis on the sphere -- Compressed sensing -- This book's take home message |
ctrlnum | (ZDB-20-CBO)CR9781316104514 (OCoLC)967600744 (DE-599)BVBBV043940371 |
dewey-full | 621.36/7 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.36/7 |
dewey-search | 621.36/7 |
dewey-sort | 3621.36 17 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1017/CBO9781316104514 |
edition | Second edition |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03917nmm a2200589zc 4500</leader><controlfield tag="001">BV043940371</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">161206s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781316104514</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-316-10451-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1017/CBO9781316104514</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-20-CBO)CR9781316104514</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)967600744</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043940371</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-92</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.36/7</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Starck, Jean-Luc</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sparse image and signal processing</subfield><subfield code="b">wavelets and related geometric multiscale analysis</subfield><subfield code="c">Jean-Luc Starck, Fionn Murtagh, Jalal Fadili</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Sparse Image & Signal Processing</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (xix, 428 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Title from publisher's bibliographic system (viewed on 05 Oct 2015)</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- Multiscale geometric transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Dictionary learning -- Three-dimensional sparse representations -- Multiscale geometric analysis on the sphere -- Compressed sensing -- This book's take home message</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Transformations (Mathematics)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sparse matrices</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wavelets (Mathematics)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wavelet</subfield><subfield code="0">(DE-588)4215427-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildübertragung</subfield><subfield code="0">(DE-588)4145457-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Nachrichtenübertragungstechnik</subfield><subfield code="0">(DE-588)4139364-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Nachrichtenübertragungstechnik</subfield><subfield code="0">(DE-588)4139364-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Bildübertragung</subfield><subfield code="0">(DE-588)4145457-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Wavelet</subfield><subfield code="0">(DE-588)4215427-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Murtagh, Fionn</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fadili, Jalal</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-1-107-08806-1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1017/CBO9781316104514</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CBO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029349341</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781316104514</subfield><subfield code="l">BSB01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">BSB_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1017/CBO9781316104514</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-20-CBO</subfield><subfield code="q">FHN_PDA_CBO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV043940371 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:13Z |
institution | BVB |
isbn | 9781316104514 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349341 |
oclc_num | 967600744 |
open_access_boolean | |
owner | DE-12 DE-92 |
owner_facet | DE-12 DE-92 |
physical | 1 online resource (xix, 428 pages) |
psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Starck, Jean-Luc Verfasser aut Sparse image and signal processing wavelets and related geometric multiscale analysis Jean-Luc Starck, Fionn Murtagh, Jalal Fadili Sparse Image & Signal Processing Second edition Cambridge Cambridge University Press 2015 1 online resource (xix, 428 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- Multiscale geometric transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Dictionary learning -- Three-dimensional sparse representations -- Multiscale geometric analysis on the sphere -- Compressed sensing -- This book's take home message This thoroughly updated new edition presents state of the art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications Transformations (Mathematics) Signal processing Image processing Sparse matrices Wavelets (Mathematics) Wavelet (DE-588)4215427-3 gnd rswk-swf Bildübertragung (DE-588)4145457-1 gnd rswk-swf Nachrichtenübertragungstechnik (DE-588)4139364-8 gnd rswk-swf Nachrichtenübertragungstechnik (DE-588)4139364-8 s Bildübertragung (DE-588)4145457-1 s Wavelet (DE-588)4215427-3 s 1\p DE-604 Murtagh, Fionn Sonstige oth Fadili, Jalal Sonstige oth Erscheint auch als Druckausgabe 978-1-107-08806-1 https://doi.org/10.1017/CBO9781316104514 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Starck, Jean-Luc Sparse image and signal processing wavelets and related geometric multiscale analysis Introduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- Multiscale geometric transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Dictionary learning -- Three-dimensional sparse representations -- Multiscale geometric analysis on the sphere -- Compressed sensing -- This book's take home message Transformations (Mathematics) Signal processing Image processing Sparse matrices Wavelets (Mathematics) Wavelet (DE-588)4215427-3 gnd Bildübertragung (DE-588)4145457-1 gnd Nachrichtenübertragungstechnik (DE-588)4139364-8 gnd |
subject_GND | (DE-588)4215427-3 (DE-588)4145457-1 (DE-588)4139364-8 |
title | Sparse image and signal processing wavelets and related geometric multiscale analysis |
title_alt | Sparse Image & Signal Processing |
title_auth | Sparse image and signal processing wavelets and related geometric multiscale analysis |
title_exact_search | Sparse image and signal processing wavelets and related geometric multiscale analysis |
title_full | Sparse image and signal processing wavelets and related geometric multiscale analysis Jean-Luc Starck, Fionn Murtagh, Jalal Fadili |
title_fullStr | Sparse image and signal processing wavelets and related geometric multiscale analysis Jean-Luc Starck, Fionn Murtagh, Jalal Fadili |
title_full_unstemmed | Sparse image and signal processing wavelets and related geometric multiscale analysis Jean-Luc Starck, Fionn Murtagh, Jalal Fadili |
title_short | Sparse image and signal processing |
title_sort | sparse image and signal processing wavelets and related geometric multiscale analysis |
title_sub | wavelets and related geometric multiscale analysis |
topic | Transformations (Mathematics) Signal processing Image processing Sparse matrices Wavelets (Mathematics) Wavelet (DE-588)4215427-3 gnd Bildübertragung (DE-588)4145457-1 gnd Nachrichtenübertragungstechnik (DE-588)4139364-8 gnd |
topic_facet | Transformations (Mathematics) Signal processing Image processing Sparse matrices Wavelets (Mathematics) Wavelet Bildübertragung Nachrichtenübertragungstechnik |
url | https://doi.org/10.1017/CBO9781316104514 |
work_keys_str_mv | AT starckjeanluc sparseimageandsignalprocessingwaveletsandrelatedgeometricmultiscaleanalysis AT murtaghfionn sparseimageandsignalprocessingwaveletsandrelatedgeometricmultiscaleanalysis AT fadilijalal sparseimageandsignalprocessingwaveletsandrelatedgeometricmultiscaleanalysis AT starckjeanluc sparseimagesignalprocessing AT murtaghfionn sparseimagesignalprocessing AT fadilijalal sparseimagesignalprocessing |