{"id":"https://openalex.org/W2755574049","doi":"https://doi.org/10.1109/icip.2017.8296479","title":"Perceptual metric for color transfer methods","display_name":"Perceptual metric for color transfer methods","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2755574049","doi":"https://doi.org/10.1109/icip.2017.8296479","mag":"2755574049"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5072435381","display_name":"Hristina Hristova","orcid":"https://orcid.org/0000-0003-2894-6933"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Hristina Hristova","raw_affiliation_strings":["University of Rennes 1"],"affiliations":[{"raw_affiliation_string":"University of Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001705528","display_name":"Olivier Le Meur","orcid":"https://orcid.org/0000-0001-9883-0296"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Le Meur","raw_affiliation_strings":["University of Rennes 1"],"affiliations":[{"raw_affiliation_string":"University of Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053742032","display_name":"R\u00e9mi Cozot","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Remi Cozot","raw_affiliation_strings":["University of Rennes 1"],"affiliations":[{"raw_affiliation_string":"University of Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048208600","display_name":"Kadi Bouatouch","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Kadi Bouatouch","raw_affiliation_strings":["University of Rennes 1"],"affiliations":[{"raw_affiliation_string":"University of Rennes 1","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072435381"],"corresponding_institution_ids":["https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46720978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"34","issue":null,"first_page":"1237","last_page":"1241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T11666","display_name":"Color Science and Applications","score":0.9983000159263611,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9916999936103821,"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":0.7445952296257019},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6972726583480835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777158975601196},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6619802713394165},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6573977470397949},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.528192400932312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4517865777015686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4450497031211853},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4226093590259552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38539206981658936},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06976449489593506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445952296257019},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6972726583480835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777158975601196},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6619802713394165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6573977470397949},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.528192400932312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4517865777015686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4450497031211853},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4226093590259552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38539206981658936},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06976449489593506},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W92691110","https://openalex.org/W275896340","https://openalex.org/W625543958","https://openalex.org/W1989137294","https://openalex.org/W1989779308","https://openalex.org/W2017387569","https://openalex.org/W2019969451","https://openalex.org/W2065632025","https://openalex.org/W2065740805","https://openalex.org/W2100233488","https://openalex.org/W2123118847","https://openalex.org/W2125331911","https://openalex.org/W2129112648","https://openalex.org/W2133665775","https://openalex.org/W2135957164","https://openalex.org/W2141015396","https://openalex.org/W2141847061","https://openalex.org/W2148143831","https://openalex.org/W2157096488","https://openalex.org/W2162502298","https://openalex.org/W2397176014","https://openalex.org/W2911964244","https://openalex.org/W4244165801","https://openalex.org/W6680437723","https://openalex.org/W6683352587","https://openalex.org/W6683944443","https://openalex.org/W6712849065"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,39,63],"propose":[4],"a":[5,17,22,41,49,65,74],"perceptual":[6],"model":[7,67,82],"for":[8,27,36],"evaluating":[9],"results":[10],"from":[11],"color":[12,50],"transfer":[13],"methods.":[14],"We":[15],"conduct":[16],"user":[18],"study,":[19],"which":[20,46],"provides":[21],"set":[23],"of":[24,29,43,80],"subjective":[25,61],"scores":[26],"triplets":[28],"input,":[30],"target":[31],"and":[32,59,73],"result":[33],"images.":[34],"Then,":[35],"each":[37],"triplet,":[38],"compute":[40],"number":[42],"image":[44],"features,":[45],"objectively":[47],"characterize":[48],"transfer.":[51],"To":[52],"describe":[53],"the":[54,60,78],"relationship":[55],"between":[56],"these":[57],"features":[58],"scores,":[62],"build":[64],"regression":[66],"with":[68],"random":[69],"forests.":[70],"An":[71],"analysis":[72],"cross-validation":[75],"show":[76],"that":[77],"predictions":[79],"our":[81],"are":[83],"highly":[84],"accurate.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}