{"id":"https://openalex.org/W3022703598","doi":"https://doi.org/10.1109/tip.2020.2989584","title":"Personalized Image Enhancement Using Neural Spline Color Transforms","display_name":"Personalized Image Enhancement Using Neural Spline Color Transforms","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022703598","doi":"https://doi.org/10.1109/tip.2020.2989584","mag":"3022703598","pmid":"https://pubmed.ncbi.nlm.nih.gov/32365026"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2989584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2989584","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5013570285","display_name":"Simone Bianco","orcid":"https://orcid.org/0000-0002-7070-1545"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Bianco","raw_affiliation_strings":["Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039582068","display_name":"Claudio Cusano","orcid":"https://orcid.org/0000-0001-9365-8167"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Cusano","raw_affiliation_strings":["Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066752349","display_name":"Flavio Piccoli","orcid":"https://orcid.org/0000-0001-7432-4284"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Flavio Piccoli","raw_affiliation_strings":["Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028039581","display_name":"Raimondo Schettini","orcid":"https://orcid.org/0000-0001-7461-1451"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raimondo Schettini","raw_affiliation_strings":["Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems, and Communications, University of Milano\u2013Bicocca, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":2.4994,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89968921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"6223","last_page":"6236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983999729156494,"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":0.7597277164459229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7487016916275024},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6074603199958801},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5997076630592346},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5844603776931763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5387545228004456},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.45776867866516113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3568539023399353},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3239007592201233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597277164459229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7487016916275024},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6074603199958801},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5997076630592346},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5844603776931763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5387545228004456},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.45776867866516113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3568539023399353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3239007592201233}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.2989584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2989584","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32365026","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32365026","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:boa.unimib.it:10281/274390","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/274390","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W126295454","https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W1920280450","https://openalex.org/W2000366549","https://openalex.org/W2002955791","https://openalex.org/W2025328853","https://openalex.org/W2028219289","https://openalex.org/W2029262840","https://openalex.org/W2055745001","https://openalex.org/W2058333183","https://openalex.org/W2086809533","https://openalex.org/W2092462915","https://openalex.org/W2133665775","https://openalex.org/W2146086273","https://openalex.org/W2164847484","https://openalex.org/W2194775991","https://openalex.org/W2315287060","https://openalex.org/W2326925005","https://openalex.org/W2502575609","https://openalex.org/W2566376500","https://openalex.org/W2607202125","https://openalex.org/W2735974062","https://openalex.org/W2779700263","https://openalex.org/W2899771611","https://openalex.org/W2902849510","https://openalex.org/W2913340405","https://openalex.org/W2948354154","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963466723","https://openalex.org/W2963794885","https://openalex.org/W2963967766","https://openalex.org/W2964121744","https://openalex.org/W3125028070","https://openalex.org/W4230472795","https://openalex.org/W6631190155","https://openalex.org/W6656529242","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2073639911"],"abstract_inverted_index":{"In":[0],"this":[1,64],"work":[2],"we":[3,140],"present":[4],"SpliNet,":[5],"a":[6,12,57,73,150,168,184,204],"novel":[7],"CNNbased":[8],"method":[9,23],"that":[10],"estimates":[11],"global":[13],"color":[14,90],"transform":[15],"for":[16,63,85],"the":[17,28,32,36,42,51,68,88,93,103,110,113,118,129,132,135,146,158,181,194,198],"enhancement":[18],"of":[19,31,38,44,82,87,112,131,145,160,173,200,208],"raw":[20,74],"images.":[21,210],"The":[22,47,171],"is":[24,54,154],"designed":[25],"to":[26,50,109,116,156],"improve":[27],"perceived":[29],"quality":[30],"images":[33],"by":[34,56,164],"reproducing":[35],"ability":[37],"an":[39,143],"expert":[40],"in":[41,128,148,188,193],"field":[43],"photo":[45],"editing.":[46],"transformation":[48],"applied":[49,108],"input":[52,72,114],"image":[53,75],"found":[55],"convolutional":[58],"neural":[59,152],"network":[60,69,153],"specifically":[61],"trained":[62],"purpose.":[65],"More":[66],"precisely,":[67],"takes":[70],"as":[71,78],"and":[76,102],"produces":[77],"output":[79,119],"one":[80],"set":[81,207],"control":[83,94],"points":[84,95],"each":[86],"three":[89],"channels.":[91],"Then,":[92],"are":[96,106,191],"interpolated":[97],"with":[98],"natural":[99],"cubic":[100],"splines":[101],"resulting":[104],"functions":[105],"globally":[107],"values":[111],"pixels":[115],"produce":[117],"image.":[120],"Experimental":[121],"results":[122],"compare":[123],"favorably":[124],"against":[125],"recent":[126],"methods":[127],"state":[130],"art":[133],"on":[134,197,203],"MIT-Adobe":[136],"FiveK":[137],"dataset.":[138],"Furthermore,":[139],"also":[141],"propose":[142],"extension":[144],"SpliNet":[147],"which":[149,189],"single":[151],"used":[155],"model":[157],"style":[159,172],"multiple":[161],"reference":[162],"retouchers":[163],"embedding":[165],"them":[166],"into":[167],"user":[169,195],"space.":[170],"new":[174],"users":[175],"can":[176],"be":[177],"reproduced":[178],"without":[179],"retraining":[180],"network,":[182],"after":[183],"quick":[185],"modeling":[186],"stage":[187],"they":[190],"positioned":[192],"space":[196],"basis":[199],"their":[201],"preferences":[202],"very":[205],"small":[206],"retouched":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}