{"id":"https://openalex.org/W3140591062","doi":"https://doi.org/10.1142/s0218001412540018","title":"IMAGE COMPOSITION WITH COLOR HARMONIZATION","display_name":"IMAGE COMPOSITION WITH COLOR HARMONIZATION","publication_year":2012,"publication_date":"2012-03-30","ids":{"openalex":"https://openalex.org/W3140591062","doi":"https://doi.org/10.1142/s0218001412540018","mag":"3140591062"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412540018","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412540018","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5101473444","display_name":"Yanli Wan","orcid":"https://orcid.org/0000-0002-7307-2027"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YANLI WAN","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101458063","display_name":"Zhen Tang","orcid":"https://orcid.org/0000-0002-9559-5216"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHEN TANG","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298934","display_name":"Zhenjiang Miao","orcid":"https://orcid.org/0000-0001-8032-5769"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZHENJIANG MIAO","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100649625","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-8828-7840"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"BO LI","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.38394723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":"03","first_page":"1254001","last_page":"1254001"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11666","display_name":"Color Science and Applications","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7115103602409363},{"id":"https://openalex.org/keywords/harmonization","display_name":"Harmonization","score":0.6429219245910645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380817890167236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5910738110542297},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.5363145470619202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4431614875793457},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4398707151412964},{"id":"https://openalex.org/keywords/harmony","display_name":"Harmony (color)","score":0.4268966317176819},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.410244882106781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35584595799446106},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3393857479095459}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7115103602409363},{"id":"https://openalex.org/C2779962950","wikidata":"https://www.wikidata.org/wiki/Q5659376","display_name":"Harmonization","level":2,"score":0.6429219245910645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380817890167236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5910738110542297},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.5363145470619202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4431614875793457},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4398707151412964},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.4268966317176819},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.410244882106781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35584595799446106},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3393857479095459},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412540018","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412540018","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1980868911","https://openalex.org/W2001933992","https://openalex.org/W2035773017","https://openalex.org/W2052003757","https://openalex.org/W2079828783","https://openalex.org/W2136154655","https://openalex.org/W2157887643","https://openalex.org/W2296168388","https://openalex.org/W2997095758","https://openalex.org/W2997945685"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W4386771591","https://openalex.org/W1978533094","https://openalex.org/W2039822179","https://openalex.org/W2006073222","https://openalex.org/W2972873516","https://openalex.org/W2376204837","https://openalex.org/W2386707344","https://openalex.org/W2361191023","https://openalex.org/W3122413929"],"abstract_inverted_index":{"Image":[0],"composition":[1,51],"is":[2,33,59,68,85,98,110],"a":[3,142],"very":[4],"important":[5,36],"technique":[6],"in":[7,47,79],"computer":[8],"generated":[9],"imagery.":[10],"Besides":[11],"some":[12],"factors":[13],"such":[14],"as":[15],"contrast,":[16],"texture":[17],"and":[18,31,57,95,137],"noise":[19],"that":[20,38,77],"affect":[21,40],"the":[22,25,41,44,48,73,88,92,96,102,114,125,132],"quality":[23,42],"of":[24,43,91,124,134,144],"composition,":[26],"color":[27,53,74,127],"harmony":[28,54],"between":[29,55],"fore-":[30,56],"background":[32,58],"also":[34],"an":[35,65],"factor":[37],"would":[39],"composition.":[45,81],"However,":[46],"previous":[49],"image":[50,80,97],"techniques,":[52],"seldom":[60],"considered.":[61],"In":[62],"this":[63],"paper,":[64],"optimization":[66],"method":[67,136],"proposed":[69,111],"to":[70,112],"deal":[71],"with":[72,141],"harmonization":[75,128],"problem":[76],"used":[78],"A":[82,105],"cost":[83,103,108],"function":[84,109],"derived":[86],"from":[87],"local":[89],"smoothness":[90],"hue":[93],"values,":[94],"harmonized":[99],"by":[100],"minimizing":[101],"function.":[104],"new":[106],"matching":[107,116],"select":[113],"best":[115],"harmonic":[117],"schemes.":[118],"Our":[119],"approach":[120],"overcomes":[121],"several":[122],"shortcomings":[123],"existing":[126],"methods.":[129],"We":[130],"validate":[131],"performance":[133],"our":[135],"demonstrate":[138],"its":[139],"effectiveness":[140],"variety":[143],"experiments.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
