{"id":"https://openalex.org/W2902691071","doi":"https://doi.org/10.1109/icpr.2018.8546178","title":"A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images","display_name":"A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902691071","doi":"https://doi.org/10.1109/icpr.2018.8546178","mag":"2902691071"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8546178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/A_convolutional_neural_network_for_pixelwise_illuminant_recovery_in_colour_and_spectral_images/20776219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010621788","display_name":"Antonio Robles\u2010Kelly","orcid":"https://orcid.org/0000-0002-2465-5971"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Antonio Robles-Kelly","raw_affiliation_strings":["Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038956669","display_name":"Ran Wei","orcid":"https://orcid.org/0000-0002-1727-728X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ran Wei","raw_affiliation_strings":["Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, Australia","Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, 2601, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"Data61-CSIRO, Black Mountain Laboratories, Canberra, ACT, 2601, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9934999942779541,"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/standard-illuminant","display_name":"Standard illuminant","score":0.9880443811416626},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7363666892051697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6968005895614624},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.620758593082428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6061082482337952},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5286633968353271},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5012245178222656},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.4841192662715912},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47932708263397217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43301960825920105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.423356294631958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3428918719291687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2911526560783386}],"concepts":[{"id":"https://openalex.org/C129112856","wikidata":"https://www.wikidata.org/wiki/Q375479","display_name":"Standard illuminant","level":2,"score":0.9880443811416626},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7363666892051697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6968005895614624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.620758593082428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061082482337952},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5286633968353271},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5012245178222656},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.4841192662715912},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47932708263397217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43301960825920105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.423356294631958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3428918719291687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2911526560783386},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2018.8546178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8546178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30118823","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20776219","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_convolutional_neural_network_for_pixelwise_illuminant_recovery_in_colour_and_spectral_images/20776219","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20776219","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_convolutional_neural_network_for_pixelwise_illuminant_recovery_in_colour_and_spectral_images/20776219","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W8423413","https://openalex.org/W52437429","https://openalex.org/W759139936","https://openalex.org/W1578740127","https://openalex.org/W1584972072","https://openalex.org/W1587254567","https://openalex.org/W1911160713","https://openalex.org/W1950407018","https://openalex.org/W1964750522","https://openalex.org/W1966855663","https://openalex.org/W1973256915","https://openalex.org/W1978546538","https://openalex.org/W1982762150","https://openalex.org/W1991135461","https://openalex.org/W2026700513","https://openalex.org/W2052090926","https://openalex.org/W2060592567","https://openalex.org/W2098195734","https://openalex.org/W2105373852","https://openalex.org/W2108303106","https://openalex.org/W2113593239","https://openalex.org/W2131241448","https://openalex.org/W2135350092","https://openalex.org/W2136154655","https://openalex.org/W2145862222","https://openalex.org/W2149550213","https://openalex.org/W2149875083","https://openalex.org/W2157354913","https://openalex.org/W2160477239","https://openalex.org/W2161808755","https://openalex.org/W2164847484","https://openalex.org/W2306965214","https://openalex.org/W2509601486","https://openalex.org/W2510425221","https://openalex.org/W2519060067","https://openalex.org/W4214948749","https://openalex.org/W4249993222","https://openalex.org/W6600366598","https://openalex.org/W6634644546","https://openalex.org/W6678911119","https://openalex.org/W6681853656","https://openalex.org/W6681979930","https://openalex.org/W6698377218","https://openalex.org/W6726152827"],"related_works":["https://openalex.org/W2405544836","https://openalex.org/W1965405839","https://openalex.org/W4308233877","https://openalex.org/W2287944637","https://openalex.org/W2115872969","https://openalex.org/W1907286699","https://openalex.org/W1973960649","https://openalex.org/W2026092253","https://openalex.org/W2408302135","https://openalex.org/W1967985366"],"abstract_inverted_index":{"Here,":[0],"we":[1],"present":[2],"a":[3,18,44,70,86],"pixelwise":[4],"illuminant":[5,55,107,126],"recovery":[6,127],"method":[7,120],"for":[8,121],"both,":[9,122],"trichromatic":[10],"and":[11,56,124,128],"multi":[12],"or":[13],"hyperspectral":[14],"images":[15],"which":[16,47,73,88],"employs":[17,48],"convolutional":[19],"neural":[20],"nettwork.":[21],"The":[22,39,64],"network":[23,40,82,103],"used":[24,66],"here":[25,67],"is":[26,41,89],"based":[27],"upon":[28],"the":[29,36,49,53,57,61,77,81,102,106,116],"simple,":[30],"yet":[31],"effective":[32],"architecture":[33],"employed":[34],"by":[35],"CIFARIO-quick":[37],"net[1].":[38],"trained":[42],"using":[43,109],"loss":[45,65],"function":[46],"angular":[50],"difference":[51],"between":[52],"target":[54],"estimated":[58],"one":[59],"as":[60],"data":[62],"term.":[63],"also":[68],"includes":[69],"regularisation":[71],"term":[72],"encourages":[74],"smoothness":[75],"in":[76,136],"spectral":[78],"domain.":[79],"Moreover,":[80],"takes,":[83],"at":[84,97],"input,":[85],"tensor":[87],"constructed":[90],"making":[91],"use":[92],"of":[93,118],"an":[94],"image":[95],"patch":[96],"different":[98],"scales.":[99],"This":[100],"allows":[101],"to":[104],"predict":[105],"per-pixel":[108],"locally":[110],"supported":[111],"multiscale":[112],"information.":[113],"We":[114],"illustrate":[115],"utility":[117],"our":[119,130],"colour":[123],"hyperspectal":[125],"compare":[129],"results":[131],"against":[132],"other":[133],"techniques":[134],"elsewhere":[135],"literature.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
