Inverse imaging with Poisson data: from cells to galaxies
Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive a...
Saved in:
Main Author: | |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
Bristol, UK
IOP Publishing
[2018]
|
Edition: | Version: 20181201 |
Series: | IOP expanding physics
|
Subjects: | |
Online Access: | UBR01 Volltext |
Summary: | Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi |
Item Description: | Includes bibliographical references |
Physical Description: | 1 Online-Ressource (verschiedene Seitenzählung) Illustrationen |
ISBN: | 9780750314374 9780750314398 |
DOI: | 10.1088/2053-2563/aae109 |
Staff View
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV046645437 | ||
003 | DE-604 | ||
005 | 20200402 | ||
007 | cr|uuu---uuuuu | ||
008 | 200330s2018 |||| o||u| ||||||eng d | ||
020 | |a 9780750314374 |c OnlineAusgabe, ebook |9 978-0-7503-1437-4 | ||
020 | |a 9780750314398 |c OnlineAusgabe, mobi |9 978-0-7503-1439-8 | ||
024 | 7 | |a 10.1088/2053-2563/aae109 |2 doi | |
035 | |a (OCoLC)1129910000 | ||
035 | |a (DE-599)BVBBV046645437 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-355 | ||
084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
084 | |a 530 |2 sdnb | ||
100 | 1 | |a Bertero, Mario |d 1938- |e Verfasser |0 (DE-588)1055083545 |4 aut | |
245 | 1 | 0 | |a Inverse imaging with Poisson data |b from cells to galaxies |c Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia) |
250 | |a Version: 20181201 | ||
264 | 1 | |a Bristol, UK |b IOP Publishing |c [2018] | |
300 | |a 1 Online-Ressource (verschiedene Seitenzählung) |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a IOP expanding physics | |
500 | |a Includes bibliographical references | ||
520 | |a Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi | ||
650 | 4 | |a Imaging systems & technology / bicssc | |
650 | 4 | |a TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh | |
650 | 4 | |a Image processing / Mathematics | |
650 | 4 | |a Inverse problems (Differential equations) | |
650 | 4 | |a Poisson distribution | |
650 | 0 | 7 | |a Bilderkennung |0 (DE-588)4264283-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Inverses Problem |0 (DE-588)4125161-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Poisson-Verteilung |0 (DE-588)4253010-6 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Bilderkennung |0 (DE-588)4264283-8 |D s |
689 | 0 | 1 | |a Inverses Problem |0 (DE-588)4125161-1 |D s |
689 | 0 | 2 | |a Poisson-Verteilung |0 (DE-588)4253010-6 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Boccacci, Patrizia |d 1955- |e Sonstige |0 (DE-588)1182588697 |4 oth | |
700 | 1 | |a Ruggiero, Valeria |d 1956- |e Sonstige |0 (DE-588)1182595650 |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-0-7503-1438-1 |
856 | 4 | 0 | |u https://doi.org/10.1088/2053-2563/aae109 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-135-IEP | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032056720 | ||
966 | e | |u https://iopscience.iop.org/book/978-0-7503-1437-4 |l UBR01 |p ZDB-135-IEP |q UBR_Paketkauf 2020 |x Verlag |3 Volltext |
Record in the Search Index
_version_ | 1804181342890491904 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Bertero, Mario 1938- |
author_GND | (DE-588)1055083545 (DE-588)1182588697 (DE-588)1182595650 |
author_facet | Bertero, Mario 1938- |
author_role | aut |
author_sort | Bertero, Mario 1938- |
author_variant | m b mb |
building | Verbundindex |
bvnumber | BV046645437 |
classification_rvk | ST 330 |
collection | ZDB-135-IEP |
ctrlnum | (OCoLC)1129910000 (DE-599)BVBBV046645437 |
discipline | Physik Informatik |
discipline_str_mv | Physik Informatik |
doi_str_mv | 10.1088/2053-2563/aae109 |
edition | Version: 20181201 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02958nmm a2200565zc 4500</leader><controlfield tag="001">BV046645437</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200402 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">200330s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780750314374</subfield><subfield code="c">OnlineAusgabe, ebook</subfield><subfield code="9">978-0-7503-1437-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780750314398</subfield><subfield code="c">OnlineAusgabe, mobi</subfield><subfield code="9">978-0-7503-1439-8</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1088/2053-2563/aae109</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1129910000</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046645437</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-355</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">530</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bertero, Mario</subfield><subfield code="d">1938-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1055083545</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Inverse imaging with Poisson data</subfield><subfield code="b">from cells to galaxies</subfield><subfield code="c">Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia)</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Version: 20181201</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Bristol, UK</subfield><subfield code="b">IOP Publishing</subfield><subfield code="c">[2018]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (verschiedene Seitenzählung)</subfield><subfield code="b">Illustrationen</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="0" ind2=" "><subfield code="a">IOP expanding physics</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Imaging systems & technology / bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Image processing / Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inverse problems (Differential equations)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poisson distribution</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bilderkennung</subfield><subfield code="0">(DE-588)4264283-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Inverses Problem</subfield><subfield code="0">(DE-588)4125161-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Poisson-Verteilung</subfield><subfield code="0">(DE-588)4253010-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bilderkennung</subfield><subfield code="0">(DE-588)4264283-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Inverses Problem</subfield><subfield code="0">(DE-588)4125161-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Poisson-Verteilung</subfield><subfield code="0">(DE-588)4253010-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Boccacci, Patrizia</subfield><subfield code="d">1955-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1182588697</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ruggiero, Valeria</subfield><subfield code="d">1956-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1182595650</subfield><subfield code="4">oth</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">978-0-7503-1438-1</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1088/2053-2563/aae109</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-135-IEP</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032056720</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://iopscience.iop.org/book/978-0-7503-1437-4</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-135-IEP</subfield><subfield code="q">UBR_Paketkauf 2020</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV046645437 |
illustrated | Not Illustrated |
index_date | 2024-07-03T14:15:21Z |
indexdate | 2024-07-10T08:50:08Z |
institution | BVB |
isbn | 9780750314374 9780750314398 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032056720 |
oclc_num | 1129910000 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR |
owner_facet | DE-355 DE-BY-UBR |
physical | 1 Online-Ressource (verschiedene Seitenzählung) Illustrationen |
psigel | ZDB-135-IEP ZDB-135-IEP UBR_Paketkauf 2020 |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | IOP Publishing |
record_format | marc |
series2 | IOP expanding physics |
spelling | Bertero, Mario 1938- Verfasser (DE-588)1055083545 aut Inverse imaging with Poisson data from cells to galaxies Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia) Version: 20181201 Bristol, UK IOP Publishing [2018] 1 Online-Ressource (verschiedene Seitenzählung) Illustrationen txt rdacontent c rdamedia cr rdacarrier IOP expanding physics Includes bibliographical references Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi Imaging systems & technology / bicssc TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh Image processing / Mathematics Inverse problems (Differential equations) Poisson distribution Bilderkennung (DE-588)4264283-8 gnd rswk-swf Inverses Problem (DE-588)4125161-1 gnd rswk-swf Poisson-Verteilung (DE-588)4253010-6 gnd rswk-swf Bilderkennung (DE-588)4264283-8 s Inverses Problem (DE-588)4125161-1 s Poisson-Verteilung (DE-588)4253010-6 s DE-604 Boccacci, Patrizia 1955- Sonstige (DE-588)1182588697 oth Ruggiero, Valeria 1956- Sonstige (DE-588)1182595650 oth Erscheint auch als Druck-Ausgabe 978-0-7503-1438-1 https://doi.org/10.1088/2053-2563/aae109 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bertero, Mario 1938- Inverse imaging with Poisson data from cells to galaxies Imaging systems & technology / bicssc TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh Image processing / Mathematics Inverse problems (Differential equations) Poisson distribution Bilderkennung (DE-588)4264283-8 gnd Inverses Problem (DE-588)4125161-1 gnd Poisson-Verteilung (DE-588)4253010-6 gnd |
subject_GND | (DE-588)4264283-8 (DE-588)4125161-1 (DE-588)4253010-6 |
title | Inverse imaging with Poisson data from cells to galaxies |
title_auth | Inverse imaging with Poisson data from cells to galaxies |
title_exact_search | Inverse imaging with Poisson data from cells to galaxies |
title_exact_search_txtP | Inverse imaging with Poisson data from cells to galaxies |
title_full | Inverse imaging with Poisson data from cells to galaxies Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia) |
title_fullStr | Inverse imaging with Poisson data from cells to galaxies Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia) |
title_full_unstemmed | Inverse imaging with Poisson data from cells to galaxies Mario Bertero, Patrizia Boccacci (DIBRIS, Università di Genova, Italia), Valeria Ruggiero (Dipartimento di Matematica e Informatica, Università di Ferrara, Italia) |
title_short | Inverse imaging with Poisson data |
title_sort | inverse imaging with poisson data from cells to galaxies |
title_sub | from cells to galaxies |
topic | Imaging systems & technology / bicssc TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh Image processing / Mathematics Inverse problems (Differential equations) Poisson distribution Bilderkennung (DE-588)4264283-8 gnd Inverses Problem (DE-588)4125161-1 gnd Poisson-Verteilung (DE-588)4253010-6 gnd |
topic_facet | Imaging systems & technology / bicssc TECHNOLOGY & ENGINEERING / Imaging Systems / bisacsh Image processing / Mathematics Inverse problems (Differential equations) Poisson distribution Bilderkennung Inverses Problem Poisson-Verteilung |
url | https://doi.org/10.1088/2053-2563/aae109 |
work_keys_str_mv | AT berteromario inverseimagingwithpoissondatafromcellstogalaxies AT boccaccipatrizia inverseimagingwithpoissondatafromcellstogalaxies AT ruggierovaleria inverseimagingwithpoissondatafromcellstogalaxies |