{"id":"https://openalex.org/W3195790311","doi":"https://doi.org/10.1109/icip42928.2021.9506139","title":"Poisson Phase Retrieval With Wirtinger Flow","display_name":"Poisson Phase Retrieval With Wirtinger Flow","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195790311","doi":"https://doi.org/10.1109/icip42928.2021.9506139","mag":"3195790311"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048841657","display_name":"Zongyu Li","orcid":"https://orcid.org/0000-0003-1813-1722"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zongyu Li","raw_affiliation_strings":["University of Michigan,Ann Arbor","University of Michigan, Ann Arbor","University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070269135","display_name":"Kenneth Lange","orcid":"https://orcid.org/0000-0002-1313-5030"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth Lange","raw_affiliation_strings":["University of California,Los Angeles","University of California, Los Angeles","Human Genetics, and Statistics, University of California, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"University of California,Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Human Genetics, and Statistics, University of California, Los Angeles, CA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027207271","display_name":"Jeffrey A. Fessler","orcid":"https://orcid.org/0000-0001-9998-3315"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey A. Fessler","raw_affiliation_strings":["University of Michigan,Ann Arbor","University of Michigan, Ann Arbor","University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048841657"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.6337,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83241204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2828","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9081000089645386,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.8368675708770752},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6178101301193237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5769770741462708},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5582919120788574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481876730918884},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5259450078010559},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4949035048484802},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.44590839743614197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3872630000114441},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3565044403076172},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35307830572128296},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27148741483688354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2242991030216217},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08974388241767883}],"concepts":[{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.8368675708770752},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6178101301193237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5769770741462708},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5582919120788574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481876730918884},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5259450078010559},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4949035048484802},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.44590839743614197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3872630000114441},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3565044403076172},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35307830572128296},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27148741483688354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2242991030216217},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08974388241767883},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1484412996","https://openalex.org/W1560013842","https://openalex.org/W1987158792","https://openalex.org/W2006221457","https://openalex.org/W2044613770","https://openalex.org/W2078788688","https://openalex.org/W2093903520","https://openalex.org/W2142949395","https://openalex.org/W2156713402","https://openalex.org/W2228046375","https://openalex.org/W2542482481","https://openalex.org/W2564422573","https://openalex.org/W2566498270","https://openalex.org/W2783478024","https://openalex.org/W2808573316","https://openalex.org/W2810363749","https://openalex.org/W3021013497","https://openalex.org/W3036111388","https://openalex.org/W3101928560","https://openalex.org/W3104151066","https://openalex.org/W3104408377","https://openalex.org/W3148325197","https://openalex.org/W4295109488","https://openalex.org/W6628955290","https://openalex.org/W6785839503"],"related_works":["https://openalex.org/W1982364301","https://openalex.org/W2604674416","https://openalex.org/W3142326235","https://openalex.org/W2352015891","https://openalex.org/W3164401114","https://openalex.org/W3091647849","https://openalex.org/W2133578667","https://openalex.org/W4385951877","https://openalex.org/W3115410543","https://openalex.org/W2042298764"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"algorithms":[3,66],"for":[4,25],"phase":[5],"retrieval":[6],"where":[7],"the":[8,26,51,57],"measurements":[9],"follow":[10],"independent":[11],"Poisson":[12,27,46,58],"distributions.":[13],"We":[14],"developed":[15],"an":[16],"optimization":[17],"problem":[18],"based":[19,55],"on":[20,56],"maximum":[21],"likelihood":[22],"estimation":[23],"(MLE)":[24],"model":[28,59],"and":[29,45],"applied":[30,77],"Wirtinger":[31,52],"flow":[32,53],"algorithm":[33,54],"to":[34,78],"solve":[35],"it.":[36],"Simulation":[37],"results":[38],"with":[39,81],"a":[40],"random":[41],"Gaussian":[42,69],"sensing":[43],"matrix":[44],"measurement":[47],"noise":[48,70],"demonstrated":[49],"that":[50],"produced":[60],"higher":[61],"quality":[62],"reconstructions":[63],"than":[64],"when":[65],"derived":[67],"from":[68],"models":[71],"(Wirtinger":[72],"flow,":[73],"Gerchberg":[74],"Saxton)":[75],"are":[76],"such":[79],"data,":[80],"significantly":[82],"improved":[83],"computational":[84],"efficiency.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}