{"id":"https://openalex.org/W4392903387","doi":"https://doi.org/10.1109/icassp48485.2024.10446689","title":"Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus","display_name":"Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903387","doi":"https://doi.org/10.1109/icassp48485.2024.10446689"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101866229","display_name":"Zhuofeng Wu","orcid":"https://orcid.org/0009-0009-9150-2869"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhuofeng Wu","raw_affiliation_strings":["Tokyo Institute of Technology,Tokyo,Japan","Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039862436","display_name":"Yusuke Monno","orcid":"https://orcid.org/0000-0001-6733-3406"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Monno","raw_affiliation_strings":["Tokyo Institute of Technology,Tokyo,Japan","Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Okutomi","raw_affiliation_strings":["Tokyo Institute of Technology,Tokyo,Japan","Tokyo Institute of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.287,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55119447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2560","last_page":"2564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9866999983787537,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9850000143051147,"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/computer-science","display_name":"Computer science","score":0.7770490050315857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7296260595321655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7267993688583374},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5459498763084412},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5411263704299927},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.476754754781723},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42249277234077454},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1514512598514557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14391815662384033},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10341483354568481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7770490050315857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7296260595321655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7267993688583374},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5459498763084412},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5411263704299927},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.476754754781723},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42249277234077454},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1514512598514557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14391815662384033},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10341483354568481},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1900576985","https://openalex.org/W1901129140","https://openalex.org/W1923779427","https://openalex.org/W2047643928","https://openalex.org/W2047736581","https://openalex.org/W2060981692","https://openalex.org/W2135238609","https://openalex.org/W2156535047","https://openalex.org/W2165518179","https://openalex.org/W2169689765","https://openalex.org/W2565929657","https://openalex.org/W2567471568","https://openalex.org/W2608759080","https://openalex.org/W2892161352","https://openalex.org/W2960552986","https://openalex.org/W2969717429","https://openalex.org/W3007962889","https://openalex.org/W3034901835","https://openalex.org/W3176833789","https://openalex.org/W3177284336","https://openalex.org/W3194958036","https://openalex.org/W4310929575","https://openalex.org/W4312522806","https://openalex.org/W4385574929"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2523224776","https://openalex.org/W2785900585","https://openalex.org/W3152111383"],"abstract_inverted_index":{"In":[0,72],"this":[1],"paper,":[2],"we":[3,42,76],"address":[4],"the":[5,29,51,66,70,83,91,98,116,123,127],"task":[6],"of":[7,15,22,33,53,69,118],"aberration-aware":[8],"depth-from-":[9],"defocus":[10],"(DfD),":[11],"which":[12,59],"takes":[13],"account":[14],"spatially":[16,30],"variant":[17,31],"point":[18],"spread":[19],"functions":[20],"(PSFs)":[21],"a":[23,34,44],"real":[24,35,54,105,113],"camera.":[25,71],"To":[26],"effectively":[27],"obtain":[28],"PSFs":[32,80],"camera":[36],"without":[37],"requiring":[38],"any":[39],"ground-truth":[40],"PSFs,":[41],"propose":[43],"novel":[45],"self-supervised":[46],"learning":[47],"method":[48,120],"that":[49,102],"leverages":[50],"pair":[52],"sharp":[55],"and":[56,81,112,126],"blurred":[57],"images,":[58],"can":[60],"be":[61],"easily":[62],"captured":[63],"by":[64],"changing":[65],"aperture":[67],"setting":[68],"our":[73,119],"PSF":[74,92,124],"estimation,":[75],"assume":[77],"rotationally":[78],"symmetric":[79],"introduce":[82],"polar":[84],"coordinate":[85],"system":[86],"to":[87],"more":[88],"accurately":[89],"learn":[90],"estimation":[93,125],"network.":[94],"We":[95],"also":[96],"handle":[97],"focus":[99],"breathing":[100],"phenomenon":[101],"occurs":[103],"in":[104],"DfD":[106],"situations.":[107],"Experimental":[108],"results":[109],"on":[110],"synthetic":[111],"data":[114],"demonstrate":[115],"effectiveness":[117],"regarding":[121],"both":[122],"depth":[128],"estimation.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}