{"id":"https://openalex.org/W2800035953","doi":"https://doi.org/10.1109/iccphot.2018.8368467","title":"Automatic estimation of modulation transfer functions","display_name":"Automatic estimation of modulation transfer functions","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2800035953","doi":"https://doi.org/10.1109/iccphot.2018.8368467","mag":"2800035953"},"language":"en","primary_location":{"id":"doi:10.1109/iccphot.2018.8368467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2018.8368467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.01872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063386684","display_name":"Matthias Bauer","orcid":"https://orcid.org/0000-0001-7040-2054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthias Bauer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052962423","display_name":"Valentin Volchkov","orcid":"https://orcid.org/0000-0003-3160-327X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentin Volchkov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067089721","display_name":"Michael Hirsch","orcid":"https://orcid.org/0000-0001-6183-6256"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Hirsch","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Bernhard Schcolkopf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bernhard Schcolkopf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6553,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83508726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11517","display_name":"Advanced optical system design","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/optical-transfer-function","display_name":"Optical transfer function","score":0.8878601789474487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882401943206787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.682491660118103},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.6582623720169067},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.645643949508667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.568416953086853},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5551267266273499},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5356528162956238},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46439629793167114},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.45320984721183777},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.44697463512420654},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.4399968981742859},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.42066794633865356},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2792162001132965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14408931136131287},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08441954851150513},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0830068588256836}],"concepts":[{"id":"https://openalex.org/C175231954","wikidata":"https://www.wikidata.org/wiki/Q1942321","display_name":"Optical transfer function","level":2,"score":0.8878601789474487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882401943206787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682491660118103},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.6582623720169067},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.645643949508667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.568416953086853},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5551267266273499},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5356528162956238},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46439629793167114},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.45320984721183777},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.44697463512420654},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.4399968981742859},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.42066794633865356},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2792162001132965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14408931136131287},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08441954851150513},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0830068588256836},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iccphot.2018.8368467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2018.8368467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.01872","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.01872","pdf_url":"https://arxiv.org/pdf/1805.01872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2800035953","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.01872.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.mpg.de:item_3049356","is_oa":false,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0003-7E55-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 IEEE International Conference on Computational Photography (ICCP 2018)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1805.01872","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.01872","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.01872","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.01872","pdf_url":"https://arxiv.org/pdf/1805.01872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2800035953.pdf","grobid_xml":"https://content.openalex.org/works/W2800035953.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W194222370","https://openalex.org/W233979554","https://openalex.org/W1522301498","https://openalex.org/W1550634749","https://openalex.org/W1910788271","https://openalex.org/W2001353835","https://openalex.org/W2038488328","https://openalex.org/W2042912074","https://openalex.org/W2055459572","https://openalex.org/W2073710548","https://openalex.org/W2097856232","https://openalex.org/W2098535678","https://openalex.org/W2107809243","https://openalex.org/W2111098473","https://openalex.org/W2135238609","https://openalex.org/W2150510489","https://openalex.org/W2159573240","https://openalex.org/W2170188555","https://openalex.org/W2194775991","https://openalex.org/W2205255542","https://openalex.org/W2476548250","https://openalex.org/W2730527898","https://openalex.org/W4211049957","https://openalex.org/W4236098434","https://openalex.org/W4236444889","https://openalex.org/W4248488644","https://openalex.org/W6602395170","https://openalex.org/W6658388369","https://openalex.org/W6665999919","https://openalex.org/W6677553462","https://openalex.org/W6684191040","https://openalex.org/W6684531174","https://openalex.org/W6698043622"],"related_works":["https://openalex.org/W2952512253","https://openalex.org/W284943925","https://openalex.org/W2360084450","https://openalex.org/W2036096853","https://openalex.org/W2740501387","https://openalex.org/W2060786646","https://openalex.org/W1981664903","https://openalex.org/W2027177171","https://openalex.org/W2186003403","https://openalex.org/W1035615395","https://openalex.org/W2031972126","https://openalex.org/W2055551517","https://openalex.org/W2098251645","https://openalex.org/W2615765083","https://openalex.org/W2417253669","https://openalex.org/W2016811644","https://openalex.org/W207114486","https://openalex.org/W763225409","https://openalex.org/W191690239","https://openalex.org/W3103393705"],"abstract_inverted_index":{"The":[0],"modulation":[1],"transfer":[2],"function":[3],"(MTF)":[4],"is":[5,17,21,65],"widely":[6],"used":[7],"to":[8,78,101,109,121,137,159],"characterise":[9],"the":[10,44,68,71,80,90,104,118,139,146,152,170],"performance":[11,171],"of":[12,43,70,82,107,155],"optical":[13,54],"systems.":[14],"Measuring":[15],"it":[16,20,64],"costly":[18],"and":[19,125,162],"thus":[22],"rarely":[23],"available":[24],"for":[25,92,166],"a":[26,76,97,127,133],"given":[27],"lens":[28,46,84],"specimen.":[29],"Instead,":[30],"MTFs":[31,38],"based":[32],"on":[33,40,141],"simulations":[34],"or,":[35],"at":[36],"best,":[37],"measured":[39],"other":[41],"specimens":[42],"same":[45,119],"are":[47,176],"used.":[48],"Fortunately,":[49],"images":[50,124],"recorded":[51],"through":[52],"an":[53],"system":[55],"contain":[56],"ample":[57],"information":[58,147],"about":[59],"its":[60],"MTF,":[61],"only":[62],"that":[63],"confounded":[66],"with":[67,169],"statistics":[69],"images.":[72],"This":[73],"work":[74],"presents":[75],"method":[77],"estimate":[79,138],"MTF":[81,140,149],"camera":[83],"systems":[85],"directly":[86],"from":[87],"photographs,":[88,168],"without":[89],"need":[91],"expensive":[93],"equipment.":[94],"We":[95,115],"use":[96,117],"custom":[98],"grid":[99],"display":[100],"accurately":[102],"measure":[103],"point":[105],"response":[106],"lenses":[108,120,161],"acquire":[110],"ground":[111],"truth":[112],"training":[113],"data.":[114],"then":[116],"record":[122],"natural":[123],"employ":[126],"data-driven":[128],"supervised":[129],"learning":[130],"approach":[131],"using":[132],"convolutional":[134],"neural":[135],"network":[136],"small":[142],"image":[143],"patches,":[144],"aggregating":[145],"into":[148],"charts":[150],"over":[151],"entire":[153],"field":[154],"view.":[156],"It":[157],"generalises":[158],"unseen":[160],"can":[163],"be":[164],"applied":[165],"single":[167],"improving":[172],"if":[173],"multiple":[174],"photographs":[175],"available.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
