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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Bouman, Charles Addison (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Philadelphia SIAM, Society for Industrial and Applied Mathematics [2022]
Schriftenreihe:Other Titles in Applied Mathematics [180]
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a2200000 cb4500
001 BV048891353
003 DE-604
005 20230406
007 t|
008 230405s2022 xxua||| |||| 00||| eng d
020 |a 9781611977134  |9 978-1-61197-713-4 
035 |a (OCoLC)1317738605 
035 |a (DE-599)BVBBV048891353 
040 |a DE-604  |b ger  |e rda 
041 0 |a eng 
044 |a xxu  |c XD-US 
049 |a DE-1043 
082 0 |a 006.6 
084 |a ST 330  |0 (DE-625)143663:  |2 rvk 
084 |a ST 330  |0 (DE-625)143663:  |2 rvk 
084 |a 68U10  |2 msc 
084 |a 65D18  |2 msc 
084 |a 94A08  |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 xi, 337 Seiten  |b Illustrationen, Diagramme 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
490 0 |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. 
650 0 7 |a Maschinelles Sehen  |0 (DE-588)4129594-8  |2 gnd  |9 rswk-swf 
650 0 7 |a Bildverarbeitung  |0 (DE-588)4006684-8  |2 gnd  |9 rswk-swf 
653 0 |a Image processing / Digital techniques / Mathematics 
689 0 0 |a Maschinelles Sehen  |0 (DE-588)4129594-8  |D s 
689 0 1 |a Bildverarbeitung  |0 (DE-588)4006684-8  |D s 
689 0 |5 DE-604 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 978-1-61197-712-7 
776 0 8 |i Erscheint auch als  |n Online-Ausgabe  |z 978-1-61197-713-4 
943 1 |a oai:aleph.bib-bvb.de:BVB01-034155930 

Datensatz im Suchindex

_version_ 1819314412762169344
any_adam_object
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 BV048891353
classification_rvk ST 330
ctrlnum (OCoLC)1317738605
(DE-599)BVBBV048891353
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
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02466nam a2200493 cb4500</leader><controlfield tag="001">BV048891353</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230406 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">230405s2022 xxua||| |||| 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="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1317738605</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048891353</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-1043</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">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">68U10</subfield><subfield code="2">msc</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="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">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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" 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="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Image processing / Digital techniques / Mathematics</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</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="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-61197-713-4</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034155930</subfield></datafield></record></collection>
id DE-604.BV048891353
illustrated Illustrated
indexdate 2024-12-24T09:43:48Z
institution BVB
isbn 9781611977134
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-034155930
oclc_num 1317738605
open_access_boolean
owner DE-1043
owner_facet DE-1043
physical xi, 337 Seiten Illustrationen, Diagramme
publishDate 2022
publishDateSearch 2022
publishDateSort 2022
publisher SIAM, Society for Industrial and Applied Mathematics
record_format marc
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
xi, 337 Seiten Illustrationen, Diagramme
txt rdacontent
n rdamedia
nc 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.
Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf
Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf
Image processing / Digital techniques / Mathematics
Maschinelles Sehen (DE-588)4129594-8 s
Bildverarbeitung (DE-588)4006684-8 s
DE-604
Erscheint auch als Druck-Ausgabe 978-1-61197-712-7
Erscheint auch als Online-Ausgabe 978-1-61197-713-4
spellingShingle Bouman, Charles Addison
Foundations of computational imaging a model-based approach
Maschinelles Sehen (DE-588)4129594-8 gnd
Bildverarbeitung (DE-588)4006684-8 gnd
subject_GND (DE-588)4129594-8
(DE-588)4006684-8
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_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
topic Maschinelles Sehen (DE-588)4129594-8 gnd
Bildverarbeitung (DE-588)4006684-8 gnd
topic_facet Maschinelles Sehen
Bildverarbeitung
work_keys_str_mv AT boumancharlesaddison foundationsofcomputationalimagingamodelbasedapproach