{"id":"https://openalex.org/W4404295447","doi":"https://doi.org/10.1109/mmsp61759.2024.10743257","title":"Efficient Image Harmonization via RGB Transformation","display_name":"Efficient Image Harmonization via RGB Transformation","publication_year":2024,"publication_date":"2024-10-02","ids":{"openalex":"https://openalex.org/W4404295447","doi":"https://doi.org/10.1109/mmsp61759.2024.10743257"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp61759.2024.10743257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp61759.2024.10743257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)","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/A5048194625","display_name":"Cheng Su","orcid":"https://orcid.org/0009-0003-3281-7904"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Su","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080244427","display_name":"Jiande Sun","orcid":"https://orcid.org/0000-0001-6157-2051"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiande Sun","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043189989","display_name":"Jinhui Wang","orcid":"https://orcid.org/0000-0003-4731-8481"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Wang","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077447732","display_name":"Wenbo Wan","orcid":"https://orcid.org/0000-0003-1447-0524"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Wan","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596057","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-6818-377X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370501","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-8454-7796"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["School of Information Science and Enginnering, Shandong Normal University,Jinan,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Enginnering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048194625"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20694552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9961000084877014,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9961000084877014,"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":0.9911999702453613,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9890999794006348,"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":0.5898349285125732},{"id":"https://openalex.org/keywords/harmonization","display_name":"Harmonization","score":0.58580082654953},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5632627606391907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.552496075630188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5487750172615051},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44565629959106445},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41525518894195557},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.05483955144882202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5898349285125732},{"id":"https://openalex.org/C2779962950","wikidata":"https://www.wikidata.org/wiki/Q5659376","display_name":"Harmonization","level":2,"score":0.58580082654953},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5632627606391907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.552496075630188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5487750172615051},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44565629959106445},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41525518894195557},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.05483955144882202},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp61759.2024.10743257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp61759.2024.10743257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1982471090","https://openalex.org/W1997488488","https://openalex.org/W2052003757","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2164147879","https://openalex.org/W2296168388","https://openalex.org/W2754213847","https://openalex.org/W2962737447","https://openalex.org/W2962785568","https://openalex.org/W2963163009","https://openalex.org/W3034421924","https://openalex.org/W3034684802","https://openalex.org/W3103635814","https://openalex.org/W3120025849","https://openalex.org/W3169823210","https://openalex.org/W3171358896","https://openalex.org/W3171714858","https://openalex.org/W3186033197","https://openalex.org/W4225322336","https://openalex.org/W4230472795","https://openalex.org/W4295312788","https://openalex.org/W4308237175","https://openalex.org/W4312502952","https://openalex.org/W4360594859","https://openalex.org/W4385490028","https://openalex.org/W4385681234","https://openalex.org/W4386071487","https://openalex.org/W4387609219","https://openalex.org/W4387968695","https://openalex.org/W6762718338","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2006073222","https://openalex.org/W2488916264","https://openalex.org/W2323573032","https://openalex.org/W198625436","https://openalex.org/W1908077024","https://openalex.org/W2095388346","https://openalex.org/W2379751185","https://openalex.org/W2379404183","https://openalex.org/W2004509987","https://openalex.org/W2185986540"],"abstract_inverted_index":{"Image":[0],"harmonization":[1,67,105],"aims":[2],"to":[3,10,46,78,97,101,113,134,161],"adjust":[4],"the":[5,8,15,36,40,80,84,115,120,144,156],"appearance":[6],"of":[7,54,87,158],"foreground":[9],"make":[11],"it":[12,165],"harmonious":[13],"with":[14,35],"background,":[16],"thereby":[17],"maintaining":[18],"visual":[19],"consistency":[20],"in":[21,83,155],"composite":[22,42,89,99],"images.":[23],"Previous":[24],"deep":[25],"learning-based":[26],"methods":[27],"have":[28],"mainly":[29],"focused":[30],"on":[31,138,143],"reconstructing":[32],"harmonized":[33,122],"images":[34],"same":[37],"size":[38],"as":[39],"input":[41],"images,":[43],"often":[44],"leading":[45],"complex":[47],"network":[48,68],"structures":[49],"and":[50,95,118,131],"a":[51,61,73,88,103,108,127,152],"large":[52],"number":[53,157],"parameters.":[55],"In":[56],"this":[57,98],"paper,":[58],"we":[59,71,125],"propose":[60],"simple":[62],"yet":[63,164],"effective":[64],"lightweight":[65],"image":[66,100],"architecture.":[69],"First,":[70],"generate":[72],"low-resolution":[74],"3-channel":[75],"feature":[76],"map":[77],"represent":[79],"rough":[81],"variations":[82],"RGB":[85],"channels":[86],"image,":[90],"which":[91],"is":[92,111],"then":[93],"upsampled":[94],"added":[96],"obtain":[102],"preliminary":[104,116],"result.":[106],"Then,":[107],"refinement":[109],"module":[110],"applied":[112],"refine":[114],"result":[117],"output":[119],"final":[121],"image.":[123],"Additionally,":[124],"design":[126],"dynamic":[128],"data":[129],"generation":[130],"training":[132],"strategy":[133],"pre-train":[135],"our":[136,149],"model":[137],"another":[139],"dataset.":[140],"Experimental":[141],"results":[142],"iHarmony4":[145],"dataset":[146],"show":[147],"that":[148],"method":[150],"indicates":[151],"significant":[153],"reduction":[154],"parameters":[159],"compared":[160],"other":[162],"methods,":[163],"still":[166],"achieved":[167],"competitive":[168],"performance.":[169]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}