{"id":"https://openalex.org/W2890217064","doi":"https://doi.org/10.1109/icip.2018.8451272","title":"Probabilistic Matrix Completion for Image Phase Retrieval","display_name":"Probabilistic Matrix Completion for Image Phase Retrieval","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890217064","doi":"https://doi.org/10.1109/icip.2018.8451272","mag":"2890217064"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th 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/A5058160104","display_name":"Petros Nyfantis","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Petros Nyfantis","raw_affiliation_strings":["Department of Physics, National and Kapodistrian University of Athens"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, National and Kapodistrian University of Athens","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087007642","display_name":"Pablo Ruiz","orcid":"https://orcid.org/0000-0003-0381-0212"},"institutions":[{"id":"https://openalex.org/I2802805919","display_name":"Science North","ror":"https://ror.org/028k36c88","country_code":"CA","type":"archive","lineage":["https://openalex.org/I2802805919"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pablo Ruiz","raw_affiliation_strings":["Dpt. of Electrical Engineering and Computer Science, Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpt. of Electrical Engineering and Computer Science, Northwestern University","institution_ids":["https://openalex.org/I2802805919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I2802805919","display_name":"Science North","ror":"https://ror.org/028k36c88","country_code":"CA","type":"archive","lineage":["https://openalex.org/I2802805919"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["Dpt. of Electrical Engineering and Computer Science, Northwestern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dpt. of Electrical Engineering and Computer Science, Northwestern University","institution_ids":["https://openalex.org/I2802805919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15222975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"231","issue":null,"first_page":"3983","last_page":"3987"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semidefinite-programming","display_name":"Semidefinite programming","score":0.7039614319801331},{"id":"https://openalex.org/keywords/phase-retrieval","display_name":"Phase retrieval","score":0.68218594789505},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.6258828043937683},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6119924187660217},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5934981107711792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857911109924316},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5590001940727234},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5204551219940186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5157046914100647},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4943974018096924},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49412158131599426},{"id":"https://openalex.org/keywords/conic-optimization","display_name":"Conic optimization","score":0.49026229977607727},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44308146834373474},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.43321627378463745},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4154965281486511},{"id":"https://openalex.org/keywords/proper-convex-function","display_name":"Proper convex function","score":0.4138893485069275},{"id":"https://openalex.org/keywords/convex-analysis","display_name":"Convex analysis","score":0.3394567370414734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3113495707511902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24368816614151}],"concepts":[{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.7039614319801331},{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.68218594789505},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.6258828043937683},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6119924187660217},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5934981107711792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857911109924316},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5590001940727234},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5204551219940186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5157046914100647},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4943974018096924},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49412158131599426},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.49026229977607727},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44308146834373474},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.43321627378463745},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4154965281486511},{"id":"https://openalex.org/C50862404","wikidata":"https://www.wikidata.org/wiki/Q3075259","display_name":"Proper convex function","level":5,"score":0.4138893485069275},{"id":"https://openalex.org/C12108790","wikidata":"https://www.wikidata.org/wiki/Q2234833","display_name":"Convex analysis","level":4,"score":0.3394567370414734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3113495707511902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24368816614151},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1484412996","https://openalex.org/W1833998552","https://openalex.org/W1980207347","https://openalex.org/W2001613283","https://openalex.org/W2008232487","https://openalex.org/W2015911499","https://openalex.org/W2025556407","https://openalex.org/W2050565643","https://openalex.org/W2070309911","https://openalex.org/W2078397124","https://openalex.org/W2087483236","https://openalex.org/W2097132843","https://openalex.org/W2102019642","https://openalex.org/W2117497535","https://openalex.org/W2118550318","https://openalex.org/W2138505091","https://openalex.org/W2140867429","https://openalex.org/W2142949395","https://openalex.org/W2143075842","https://openalex.org/W2145080587","https://openalex.org/W2150701585","https://openalex.org/W2167850383","https://openalex.org/W2533223407","https://openalex.org/W2962880913","https://openalex.org/W2962941403","https://openalex.org/W2963443408","https://openalex.org/W2963762195","https://openalex.org/W2963841451","https://openalex.org/W3102206315","https://openalex.org/W4298263336","https://openalex.org/W4299534916","https://openalex.org/W6683110664","https://openalex.org/W6728874904"],"related_works":["https://openalex.org/W2124038748","https://openalex.org/W2771160919","https://openalex.org/W4301659259","https://openalex.org/W2941716933","https://openalex.org/W2189286193","https://openalex.org/W2169279714","https://openalex.org/W4390640000","https://openalex.org/W2964217826","https://openalex.org/W4225397084","https://openalex.org/W2734667871"],"abstract_inverted_index":{"In":[0,54],"this":[1,55],"paper":[2,56],"we":[3,90],"address":[4],"the":[5,13,16,34,57,68,79,100],"Phase":[6,32],"Retrieval":[7],"problem,":[8,45],"which":[9,46,66,94],"aims":[10],"to":[11],"recover":[12],"phase":[14],"of":[15,19,81,83,99],"Fourier":[17],"transform":[18],"a":[20,40,63,92],"signal":[21],"when":[22],"only":[23],"magnitude":[24],"measurements":[25],"are":[26],"available.":[27],"Following":[28],"recent":[29],"developments":[30],"in":[31,96],"Retrieval,":[33],"problem":[35,70],"can":[36,47],"be":[37,48],"transformed":[38],"into":[39,71],"convex":[41,73,88],"semidefinite":[42],"programming":[43],"optimization":[44,74],"solved":[49],"using":[50,62],"Matrix":[51],"Completion":[52],"techniques.":[53],"acquisition":[58],"process":[59],"is":[60],"modeled":[61],"likelihood":[64],"function,":[65],"splits":[67],"original":[69],"two":[72],"problems,":[75],"and":[76],"alternates":[77],"between":[78],"solution":[80],"each":[82],"them.":[84],"To":[85],"relate":[86],"both":[87],"problems":[89],"introduce":[91],"heuristic,":[93],"results":[95],"fast":[97],"convergence":[98],"proposed":[101],"method.":[102]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
