{"id":"https://openalex.org/W2400526319","doi":"https://doi.org/10.2352/cic.1993.1.1.art00005","title":"Pseudo-Linearly Modified IHS Color Model and its Application to Color Image Enhancement","display_name":"Pseudo-Linearly Modified IHS Color Model and its Application to Color Image Enhancement","publication_year":1993,"publication_date":"1993-01-01","ids":{"openalex":"https://openalex.org/W2400526319","doi":"https://doi.org/10.2352/cic.1993.1.1.art00005","mag":"2400526319"},"language":"en","primary_location":{"id":"doi:10.2352/cic.1993.1.1.art00005","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1993.1.1.art00005","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/1/1/art00005","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/1/1/art00005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053522576","display_name":"Jeong-Yeop Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong-Yeop Kim","raw_affiliation_strings":["Kyungpook National University , Department of Electronic Engineering , Taegu , Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University , Department of Electronic Engineering , Taegu , Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112110530","display_name":"Yeong\u2010Ho Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeong-Ho Ha","raw_affiliation_strings":["Kyungpook National University , Department of Electronic Engineering , Taegu , Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National University , Department of Electronic Engineering , Taegu , Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4665392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"1","first_page":"23","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9883000254631042,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9805999994277954,"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/gamut","display_name":"Gamut","score":0.9381138682365417},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.833132266998291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6803657412528992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.655474066734314},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5474728345870972},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4813966751098633},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.481025755405426},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.46372243762016296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4536620080471039},{"id":"https://openalex.org/keywords/spectral-color","display_name":"Spectral color","score":0.44598662853240967},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41765299439430237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38354140520095825},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.368322491645813},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27041685581207275}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.9381138682365417},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.833132266998291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6803657412528992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.655474066734314},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5474728345870972},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4813966751098633},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.481025755405426},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.46372243762016296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4536620080471039},{"id":"https://openalex.org/C97991835","wikidata":"https://www.wikidata.org/wiki/Q910300","display_name":"Spectral color","level":5,"score":0.44598662853240967},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41765299439430237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38354140520095825},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.368322491645813},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27041685581207275}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.1993.1.1.art00005","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1993.1.1.art00005","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/1/1/art00005","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.1993.1.1.art00005","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.1993.1.1.art00005","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/1/1/art00005","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2400526319.pdf","grobid_xml":"https://content.openalex.org/works/W2400526319.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2382893230","https://openalex.org/W4255532429","https://openalex.org/W2389287339","https://openalex.org/W1511887962","https://openalex.org/W2354474683","https://openalex.org/W2044382768","https://openalex.org/W3170402548","https://openalex.org/W2064781307","https://openalex.org/W4389492757","https://openalex.org/W2797983562"],"abstract_inverted_index":{"Color":[0],"image":[1,9,21,128],"enhancement":[2],"is":[3,39,57,80,102,114,131,142,169,183],"a":[4,97],"technique":[5],"which":[6],"makes":[7],"an":[8],"more":[10],"vivid":[11],"for":[12,19],"human":[13,52],"vision.":[14],"Most":[15],"affecting":[16],"color":[17,30,53,178,187],"elements":[18,31],"the":[20,33,66,84,91,106,118,121,127,135,148,151,154,161,173,177,191],"are":[22],"intensity,":[23,139],"contrast":[24,130],"and":[25,55,63,123,140,189],"saturation.":[26],"In":[27,94],"handling":[28],"these":[29],"with":[32],"conventional":[34],"coordinates,":[35],"their":[36],"geometric":[37,69],"form":[38,70],"important":[40],"in":[41,144],"view":[42],"of":[43,65,71,108,138,147,176],"valid":[44,92],"gamut.":[45,93],"Of":[46],"them,":[47],"IHS":[48,99,109],"coordinate":[49,73,100,113,181],"appropriately":[50],"represents":[51],"perception":[54],"it":[56,79],"easy":[58,184],"to":[59,82,104,116,171,185],"manipulate":[60],"hue,":[61],"intensity":[62,149],"saturation":[64,122,141,156],"image.":[67,179],"The":[68,111],"this":[72,95],"is,":[74],"however,":[75],"nonlinear,":[76],"so":[77],"that":[78],"difficult":[81],"control":[83],"element":[85],"values":[86,157],"since":[87],"they":[88],"may":[89],"exceed":[90],"paper,":[96],"modified":[98],"system":[101,182],"proposed":[103,112],"remedy":[105],"nonlinearity":[107],"system.":[110],"derived":[115],"linearize":[117],"relationship":[119],"between":[120,153,165],"intensity.":[124],"To":[125],"improve":[126],"quality,":[129],"increased":[132],"by":[133],"maximizing":[134],"dynamic":[136],"range":[137,146],"normalized":[143],"full":[145],"because":[150],"ratio":[152,163],"changed":[155],"should":[158],"be":[159],"maintained":[160],"same":[162],"as":[164],"original":[166],"values.":[167],"Hue":[168],"preserved":[170],"keep":[172],"characteristic":[174],"property":[175],"This":[180],"enhance":[186],"images":[188],"avoid":[190],"gamut-overflow":[192],"problem.":[193]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}