{"id":"https://openalex.org/W3116680808","doi":"https://doi.org/10.1109/ictc49870.2020.9289168","title":"Dichromatic Model Based Highlight Removal via Deep Learning","display_name":"Dichromatic Model Based Highlight Removal via Deep Learning","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3116680808","doi":"https://doi.org/10.1109/ictc49870.2020.9289168","mag":"3116680808"},"language":"en","primary_location":{"id":"doi:10.1109/ictc49870.2020.9289168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5101805150","display_name":"Chan-Ho Lee","orcid":"https://orcid.org/0000-0002-0581-392X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chan-Ho Lee","raw_affiliation_strings":["Korea University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108264470","display_name":"Jun-Sang Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Sang Yoo","raw_affiliation_strings":["Korea University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024668714","display_name":"Jong\u2010Ok Kim","orcid":"https://orcid.org/0000-0001-7022-2408"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Ok Kim","raw_affiliation_strings":["Korea University,School of Electrical Engineering,Seoul,Korea","School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,School of Electrical Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101805150"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15988382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.9957000017166138,"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/subnetwork","display_name":"Subnetwork","score":0.9491450190544128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6763819456100464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6615697741508484},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6424357891082764},{"id":"https://openalex.org/keywords/coefficient-matrix","display_name":"Coefficient matrix","score":0.5748064517974854},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5149381756782532},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5068824887275696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5006592273712158},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4874885082244873},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.41977596282958984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3546030819416046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3267483115196228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18369585275650024},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08856236934661865},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0870760977268219},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0657128393650055}],"concepts":[{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.9491450190544128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763819456100464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6615697741508484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6424357891082764},{"id":"https://openalex.org/C60866291","wikidata":"https://www.wikidata.org/wiki/Q5140577","display_name":"Coefficient matrix","level":3,"score":0.5748064517974854},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5149381756782532},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5068824887275696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5006592273712158},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4874885082244873},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.41977596282958984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3546030819416046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3267483115196228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18369585275650024},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08856236934661865},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0870760977268219},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0657128393650055},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc49870.2020.9289168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc49870.2020.9289168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1524528038","https://openalex.org/W1697920635","https://openalex.org/W1991135461","https://openalex.org/W2103274608","https://openalex.org/W2116093366","https://openalex.org/W2146452289","https://openalex.org/W2408719804","https://openalex.org/W2616638671","https://openalex.org/W2749252755","https://openalex.org/W2896054467","https://openalex.org/W2934915317","https://openalex.org/W3148327892","https://openalex.org/W4255820527","https://openalex.org/W6637135483"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W4226360758","https://openalex.org/W2090026684","https://openalex.org/W2907567977","https://openalex.org/W3153861134"],"abstract_inverted_index":{"The":[0,41],"dichromatic":[1,22,116],"model":[2,61],"has":[3],"been":[4],"popularly":[5],"used":[6],"for":[7],"highlight":[8,27,83,91],"removal.":[9,28],"In":[10],"this":[11],"paper,":[12],"we":[13,32,85],"propose":[14],"a":[15,108],"deep":[16,124],"learning":[17,125],"network":[18,42],"which":[19,70],"estimates":[20],"the":[21,26,49,72,80,87,97,100,104,115,122],"parameters":[23,117],"to":[24],"achieve":[25],"Unlike":[29],"recent":[30],"works,":[31],"utilize":[33],"not":[34],"only":[35],"spatial":[36],"but":[37],"also":[38],"temporal":[39],"characteristic.":[40],"structure":[43],"consists":[44],"of":[45,82],"two":[46],"subnetworks,":[47],"and":[48,52,74,103],"diffuse":[50,73,88,101,105],"dictionary":[51,102],"coefficient":[53,109],"matrix":[54],"are":[55],"generated":[56],"through":[57],"each":[58],"subnetwork.":[59],"This":[60,111],"is":[62,92,118],"jointly":[63],"learned":[64],"by":[65,95],"setting":[66],"3":[67],"loss":[68],"functions,":[69],"split":[71],"specular":[75],"components":[76],"well.":[77],"To":[78],"evaluate":[79],"performance":[81],"removal,":[84],"have":[86],"image":[89],"that":[90],"thoroughly":[93],"removed":[94],"calculating":[96],"multiplication":[98],"with":[99],"weight":[106],"in":[107,121],"matrix.":[110],"result":[112],"shows":[113],"estimating":[114],"well":[119],"implemented":[120],"proposed":[123],"method.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
