{"id":"https://openalex.org/W2136423906","doi":"https://doi.org/10.1109/icassp.2012.6288070","title":"An explicit sharpness index related to global phase coherence","display_name":"An explicit sharpness index related to global phase coherence","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2136423906","doi":"https://doi.org/10.1109/icassp.2012.6288070","mag":"2136423906"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00662374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014200824","display_name":"Gwendoline Blanchet","orcid":null},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"government","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gwendoline Blanchet","raw_affiliation_strings":["Centre National d'Etudes Spatiales, Toulouse, France","Centre National d\u2019 Etudes Spatiales, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre National d'Etudes Spatiales, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]},{"raw_affiliation_string":"Centre National d\u2019 Etudes Spatiales, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090845509","display_name":"Lionel Moisan","orcid":"https://orcid.org/0000-0001-6019-2698"},"institutions":[{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4387154995","display_name":"Math\u00e9matiques Appliqu\u00e9es \u00e0 Paris 5","ror":"https://ror.org/04yrrdj53","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4387154995"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Moisan","raw_affiliation_strings":["MAP5, CNRS UMR 8145, Universit\u00e9 Paris Descartes, Paris, France","Universit\u00e9 Paris Descartes, MAP5, CNRS UMR 8145, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MAP5, CNRS UMR 8145, Universit\u00e9 Paris Descartes, Paris, France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I4387154995"]},{"raw_affiliation_string":"Universit\u00e9 Paris Descartes, MAP5, CNRS UMR 8145, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I1294671590","https://openalex.org/I110736937","https://openalex.org/I4387154995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.8135,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.97416805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1065","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9954000115394592,"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/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7222579121589661},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5949100852012634},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5927404761314392},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5697518587112427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5541646480560303},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5310535430908203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5258674621582031},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.522986650466919},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5030915141105652},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4964447617530823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4428976774215698},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4340454339981079},{"id":"https://openalex.org/keywords/phase-coherence","display_name":"Phase coherence","score":0.42720746994018555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4201090633869171},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3329518735408783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3243114650249481},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26130443811416626},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08985990285873413}],"concepts":[{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7222579121589661},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5949100852012634},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5927404761314392},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5697518587112427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5541646480560303},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5310535430908203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5258674621582031},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.522986650466919},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5030915141105652},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4964447617530823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4428976774215698},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4340454339981079},{"id":"https://openalex.org/C2987132901","wikidata":"https://www.wikidata.org/wiki/Q193147","display_name":"Phase coherence","level":2,"score":0.42720746994018555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4201090633869171},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3329518735408783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3243114650249481},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26130443811416626},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08985990285873413},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00662374v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00662374","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011","raw_type":"Preprints, Working Papers, ..."}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00662374v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00662374","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011","raw_type":"Preprints, Working Papers, ..."},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4399999976158142,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2030834430","https://openalex.org/W2097493704","https://openalex.org/W2097748793","https://openalex.org/W2103559027","https://openalex.org/W2140207570","https://openalex.org/W2151354735"],"related_works":["https://openalex.org/W2073134450","https://openalex.org/W2321624595","https://openalex.org/W1559492254","https://openalex.org/W1982310127","https://openalex.org/W1668101695","https://openalex.org/W1599548590","https://openalex.org/W2036022943","https://openalex.org/W2409856338","https://openalex.org/W4318372922","https://openalex.org/W2336477183"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,5,44,48,60],"definition":[3],"of":[4,15,34],"Sharpness":[6,76],"Index":[7,77],"that":[8,43,92],"is":[9,90],"closely":[10],"related":[11],"to":[12,55,70,86],"the":[13,41,72,75,79,94],"notion":[14],"Global":[16,80],"Phase":[17,81],"Coherence":[18],"recently":[19],"introduced":[20],"for":[21],"automatic":[22],"image":[23,26,46],"restoration":[24],"and":[25,59,65,78,83],"quality":[27],"assessment.":[28],"Using":[29],"Gaussian":[30],"random":[31,35,45],"fields":[32],"instead":[33],"phase":[36],"images,":[37],"we":[38],"can":[39],"estimate":[40],"probability":[42],"has":[47],"given":[49,69],"Total":[50],"Variation,":[51],"which":[52],"leads":[53],"us":[54],"an":[56,84],"explicit":[57],"formula":[58],"fast":[61],"algorithm.":[62],"Theoretical":[63],"arguments":[64],"numerical":[66],"experiments":[67],"are":[68],"assess":[71],"similarity":[73],"between":[74],"Coherence,":[82],"application":[85],"non-parametric":[87],"blind":[88],"deconvolution":[89],"presented,":[91],"illustrates":[93],"possibilities":[95],"offered":[96],"by":[97],"this":[98],"new":[99],"approach.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
