{"id":"https://openalex.org/W6944953871","doi":"https://doi.org/10.2312/pg.20221247","title":"Aesthetic Enhancement via Color Area and Location Awareness","display_name":"Aesthetic Enhancement via Color Area and Location Awareness","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6944953871","doi":"https://doi.org/10.2312/pg.20221247"},"language":"en","primary_location":{"id":"pmh:oai:dro.dur.ac.uk.OAI2:37357","is_oa":true,"landing_page_url":"http://dro.dur.ac.uk/37357/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"The 30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022, Kyoto, Japan, 05-08 Oct 2022 [Conference proceedings]","raw_type":"Conference item"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dro.dur.ac.uk/37357/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yang, Bailin","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang, Bailin","raw_affiliation_strings":["Zhejiang Gongshang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Qingxu","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Qingxu","raw_affiliation_strings":["Zhejiang Gongshang University, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Frederick W. B.","orcid":"https://orcid.org/0000-0002-4283-4228"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li, Frederick W. B.","raw_affiliation_strings":["Department of Computer Science, University of Durham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Durham, United Kingdom","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang, Xiaohui","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang, Xiaohui","raw_affiliation_strings":["Beihang University"],"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei, Tianxiang","orcid":"https://orcid.org/0000-0001-6399-176X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei, Tianxiang","raw_affiliation_strings":["Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhu, Changrui","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu, Changrui","raw_affiliation_strings":["Zhejiang Gongshang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Gongshang University","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25116407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9606000185012817,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9606000185012817,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.01489999983459711,"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/T11019","display_name":"Image Enhancement Techniques","score":0.012600000016391277,"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/palette","display_name":"Palette (painting)","score":0.715399980545044},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.6610999703407288},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.586899995803833},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.4948999881744385},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.47279998660087585},{"id":"https://openalex.org/keywords/false-color","display_name":"False color","score":0.4645000100135803},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4316999912261963},{"id":"https://openalex.org/keywords/high-color","display_name":"High color","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7634000182151794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7494000196456909},{"id":"https://openalex.org/C2779674283","wikidata":"https://www.wikidata.org/wiki/Q425548","display_name":"Palette (painting)","level":2,"score":0.715399980545044},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.6610999703407288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309000253677368},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.586899995803833},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.4948999881744385},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.47279998660087585},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.4645000100135803},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4316999912261963},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.421999990940094},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4196999967098236},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4034999907016754},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.3862000107765198},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.38339999318122864},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.35190001130104065},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.34869998693466187},{"id":"https://openalex.org/C95143428","wikidata":"https://www.wikidata.org/wiki/Q375296","display_name":"ICC profile","level":5,"score":0.34389999508857727},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.3353999853134155},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.2865000069141388},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.2831000089645386},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.28040000796318054},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.2705000042915344},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:dro.dur.ac.uk.OAI2:37357","is_oa":true,"landing_page_url":"http://dro.dur.ac.uk/37357/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"The 30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022, Kyoto, Japan, 05-08 Oct 2022 [Conference proceedings]","raw_type":"Conference item"},{"id":"doi:10.2312/pg.20221247","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20221247","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"pmh:oai:dro.dur.ac.uk.OAI2:37357","is_oa":true,"landing_page_url":"http://dro.dur.ac.uk/37357/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"The 30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022, Kyoto, Japan, 05-08 Oct 2022 [Conference proceedings]","raw_type":"Conference item"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5215508341789246}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Choosing":[0],"a":[1,11,70],"suitable":[2,55],"color":[3,21,24,27,34,72,81,101,105,115,128],"palette":[4,52,73],"can":[5],"typically":[6],"improve":[7],"image":[8,56,60,98,120,124,159,164,168],"aesthetic,":[9],"where":[10],"naive":[12],"way":[13],"is":[14,45],"choosing":[15],"harmonious":[16],"colors":[17,53],"from":[18,74,108],"some":[19],"pre-defined":[20],"combinations":[22],"in":[23,40],"wheels.":[25],"However,":[26],"palettes":[28],"only":[29],"consider":[30,118],"the":[31,85,127],"usage":[32],"of":[33,90],"types":[35],"without":[36],"specifying":[37],"their":[38],"amount":[39],"an":[41,91],"image.":[42,93],"Also,":[43],"it":[44],"still":[46],"challenging":[47],"to":[48,54,68,111,131,138,154],"automatically":[49],"assign":[50],"individual":[51],"regions":[57],"for":[58,157,167],"maximizing":[59],"aesthetic":[61,78,109,169],"quality.":[62],"Motivated":[63],"by":[64,83],"these,":[65],"we":[66],"propose":[67],"construct":[69],"contribution-aware":[71],"images":[75,110],"with":[76],"high":[77],"quality,":[79],"enabling":[80],"transfer":[82],"matching":[84],"coloring":[86],"and":[87,103,123,150,162],"regional":[88],"characteristics":[89],"input":[92],"We":[94,117,133],"hence":[95],"exploit":[96],"public":[97],"datasets,":[99],"extracting":[100],"composition":[102],"embedded":[104],"contribution":[106,129],"features":[107,130],"generate":[112],"our":[113,141],"proposed":[114],"palettes.":[116],"both":[119],"area":[121],"ratio":[122],"location":[125],"as":[126],"extract.":[132],"have":[134],"conducted":[135],"quantitative":[136],"experiments":[137],"demonstrate":[139],"that":[140],"method":[142],"outperforms":[143],"existing":[144],"methods":[145],"through":[146],"SSIM":[147],"(Structural":[148],"SIMilarity)":[149],"PSNR":[151],"(Peak":[152],"Signal":[153],"Noise":[155],"Ratio)":[156],"objective":[158],"quality":[160],"measurement":[161],"no-reference":[163],"assessment":[165],"(NIMA)":[166],"scoring.":[170]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}