Foundations of computational imaging: a model-based approach
Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Philadelphia
SIAM, Society for Industrial and Applied Mathematics
[2022]
|
| Schriftenreihe: | Other Titles in Applied Mathematics
[180] |
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-20 DE-706 DE-29 URL des Erstveröffentlichers |
| Zusammenfassung: | Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods -- Plug-and-play and advanced priors -- Model parameter estimation -- The expectation-maximization (EM) algorithm -- Markov chains and hidden Markov models -- General MRF models -- Stochastic simulation -- Bayesian segmentation -- Poisson data models. This book provides a foundation for a collection of theoretical material that can serve as a common language for both researchers and practitioners of Computational Imaging. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xi, 337 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781611977134 |
| DOI: | 10.1137/1.9781611977134 |
Internformat
MARC
| LEADER | 00000nam a2200000 cb4500 | ||
|---|---|---|---|
| 001 | BV048555379 | ||
| 003 | DE-604 | ||
| 005 | 20250115 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 221110s2022 xxua||| o|||| 00||| eng d | ||
| 020 | |a 9781611977134 |9 978-1-61197-713-4 | ||
| 024 | 7 | |a 10.1137/1.9781611977134 |2 doi | |
| 035 | |a (OCoLC)1350774842 | ||
| 035 | |a (DE-599)BVBBV048555379 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US | ||
| 049 | |a DE-29 |a DE-11 |a DE-91 |a DE-20 |a DE-706 | ||
| 082 | 0 | |a 006.6 | |
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 084 | |a 65D18 |2 msc | ||
| 084 | |a 94A08 |2 msc | ||
| 084 | |a 68U10 |2 msc | ||
| 100 | 1 | |a Bouman, Charles Addison |0 (DE-588)1144377609 |4 aut | |
| 245 | 1 | 0 | |a Foundations of computational imaging |b a model-based approach |c Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana |
| 264 | 1 | |a Philadelphia |b SIAM, Society for Industrial and Applied Mathematics |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a 1 Online-Ressource (xi, 337 Seiten) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 1 | |a Other Titles in Applied Mathematics |v [180] | |
| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods -- Plug-and-play and advanced priors -- Model parameter estimation -- The expectation-maximization (EM) algorithm -- Markov chains and hidden Markov models -- General MRF models -- Stochastic simulation -- Bayesian segmentation -- Poisson data models. | |
| 520 | 3 | |a This book provides a foundation for a collection of theoretical material that can serve as a common language for both researchers and practitioners of Computational Imaging. | |
| 653 | 0 | |a Image processing / Digital techniques / Mathematics | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-61197-712-7 |
| 830 | 0 | |a Other Titles in Applied Mathematics |v [180] |w (DE-604)BV040633124 |9 180 | |
| 856 | 4 | 0 | |u https://doi.org/10.1137/1.9781611977134 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-72-SIA | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033931668 | |
| 966 | e | |u https://doi.org/10.1137/1.9781611977134 |l DE-91 |p ZDB-72-SIA |q TUM_Paketkauf_2022 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1137/1.9781611977134 |l DE-20 |p ZDB-72-SIA |q UBW_Lizenz |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1137/1.9781611977134 |l DE-706 |p ZDB-72-SIA |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1137/1.9781611977134 |l DE-29 |p ZDB-72-SIA |q UER_Paketkauf_2022 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1821327558682083328 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Bouman, Charles Addison |
| author_GND | (DE-588)1144377609 |
| author_facet | Bouman, Charles Addison |
| author_role | aut |
| author_sort | Bouman, Charles Addison |
| author_variant | c a b ca cab |
| building | Verbundindex |
| bvnumber | BV048555379 |
| classification_rvk | ST 330 |
| collection | ZDB-72-SIA |
| ctrlnum | (OCoLC)1350774842 (DE-599)BVBBV048555379 |
| dewey-full | 006.6 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.6 |
| dewey-search | 006.6 |
| dewey-sort | 16.6 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1137/1.9781611977134 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 cb4500</leader><controlfield tag="001">BV048555379</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250115</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">221110s2022 xxua||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781611977134</subfield><subfield code="9">978-1-61197-713-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1137/1.9781611977134</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1350774842</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048555379</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="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.6</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">65D18</subfield><subfield code="2">msc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">94A08</subfield><subfield code="2">msc</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">68U10</subfield><subfield code="2">msc</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bouman, Charles Addison</subfield><subfield code="0">(DE-588)1144377609</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Foundations of computational imaging</subfield><subfield code="b">a model-based approach</subfield><subfield code="c">Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Philadelphia</subfield><subfield code="b">SIAM, Society for Industrial and Applied Mathematics</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xi, 337 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</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="490" ind1="1" ind2=" "><subfield code="a">Other Titles in Applied Mathematics</subfield><subfield code="v">[180]</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods -- Plug-and-play and advanced priors -- Model parameter estimation -- The expectation-maximization (EM) algorithm -- Markov chains and hidden Markov models -- General MRF models -- Stochastic simulation -- Bayesian segmentation -- Poisson data models.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">This book provides a foundation for a collection of theoretical material that can serve as a common language for both researchers and practitioners of Computational Imaging.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Image processing / Digital techniques / Mathematics</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-61197-712-7</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Other Titles in Applied Mathematics</subfield><subfield code="v">[180]</subfield><subfield code="w">(DE-604)BV040633124</subfield><subfield code="9">180</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1137/1.9781611977134</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-72-SIA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033931668</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1137/1.9781611977134</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-72-SIA</subfield><subfield code="q">TUM_Paketkauf_2022</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1137/1.9781611977134</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-72-SIA</subfield><subfield code="q">UBW_Lizenz</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1137/1.9781611977134</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-72-SIA</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1137/1.9781611977134</subfield><subfield code="l">DE-29</subfield><subfield code="p">ZDB-72-SIA</subfield><subfield code="q">UER_Paketkauf_2022</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048555379 |
| illustrated | Illustrated |
| index_date | 2024-07-03T20:58:22Z |
| indexdate | 2025-01-15T15:01:54Z |
| institution | BVB |
| isbn | 9781611977134 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033931668 |
| oclc_num | 1350774842 |
| open_access_boolean | |
| owner | DE-29 DE-11 DE-91 DE-BY-TUM DE-20 DE-706 |
| owner_facet | DE-29 DE-11 DE-91 DE-BY-TUM DE-20 DE-706 |
| physical | 1 Online-Ressource (xi, 337 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-72-SIA ZDB-72-SIA TUM_Paketkauf_2022 ZDB-72-SIA UBW_Lizenz ZDB-72-SIA UER_Paketkauf_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | SIAM, Society for Industrial and Applied Mathematics |
| record_format | marc |
| series | Other Titles in Applied Mathematics |
| series2 | Other Titles in Applied Mathematics |
| spelling | Bouman, Charles Addison (DE-588)1144377609 aut Foundations of computational imaging a model-based approach Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana Philadelphia SIAM, Society for Industrial and Applied Mathematics [2022] © 2022 1 Online-Ressource (xi, 337 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Other Titles in Applied Mathematics [180] Includes bibliographical references and index Probability, estimation, and random processes -- Causal Gaussian models -- Non-causal Gaussian models -- Map estimation with Gaussian priors -- Non-Gaussian MRF models -- Map estimation with non-Gaussian priors -- Surrogate functions and majorization -- Constrained optimization and proximal methods -- Plug-and-play and advanced priors -- Model parameter estimation -- The expectation-maximization (EM) algorithm -- Markov chains and hidden Markov models -- General MRF models -- Stochastic simulation -- Bayesian segmentation -- Poisson data models. This book provides a foundation for a collection of theoretical material that can serve as a common language for both researchers and practitioners of Computational Imaging. Image processing / Digital techniques / Mathematics Erscheint auch als Druck-Ausgabe 978-1-61197-712-7 Other Titles in Applied Mathematics [180] (DE-604)BV040633124 180 https://doi.org/10.1137/1.9781611977134 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bouman, Charles Addison Foundations of computational imaging a model-based approach Other Titles in Applied Mathematics |
| title | Foundations of computational imaging a model-based approach |
| title_auth | Foundations of computational imaging a model-based approach |
| title_exact_search | Foundations of computational imaging a model-based approach |
| title_exact_search_txtP | Foundations of computational imaging a model-based approach |
| title_full | Foundations of computational imaging a model-based approach Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana |
| title_fullStr | Foundations of computational imaging a model-based approach Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana |
| title_full_unstemmed | Foundations of computational imaging a model-based approach Charles A. Bouman ; Purdue Universtiy ; West Lafayette, Indiana |
| title_short | Foundations of computational imaging |
| title_sort | foundations of computational imaging a model based approach |
| title_sub | a model-based approach |
| url | https://doi.org/10.1137/1.9781611977134 |
| volume_link | (DE-604)BV040633124 |
| work_keys_str_mv | AT boumancharlesaddison foundationsofcomputationalimagingamodelbasedapproach |