{"id":"https://openalex.org/W2092575013","doi":"https://doi.org/10.1109/tgrs.2013.2243157","title":"Image Fusion With No Gamut Problem by Improved Nonlinear IHS Transforms for Remote Sensing","display_name":"Image Fusion With No Gamut Problem by Improved Nonlinear IHS Transforms for Remote Sensing","publication_year":2013,"publication_date":"2013-03-13","ids":{"openalex":"https://openalex.org/W2092575013","doi":"https://doi.org/10.1109/tgrs.2013.2243157","mag":"2092575013"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2013.2243157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2243157","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","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/A5102254069","display_name":"Chun-Liang Chien","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Liang Chien","raw_affiliation_strings":["Department of Biomedical Engineering, Chun Yuan Christian University, Taoyuan, Taiwan","Dept. of Biomed. Eng., Chun Yuan Christian Univ., Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Chun Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Chun Yuan Christian Univ., Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102160275","display_name":"Wen\u2010Hsiang Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]},{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiang Tsai","raw_affiliation_strings":["Department of Information Communication, Asia University, Taichung, Taiwan","Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Communication, Asia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.1895,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97707492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"52","issue":"1","first_page":"651","last_page":"663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9930999875068665,"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":0.9382957220077515},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8112215399742126},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.7791293859481812},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.7518917322158813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.697444498538971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6814920902252197},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.6632590293884277},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6407625079154968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6237088441848755},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.6108788251876831},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.5887244939804077},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5764188170433044},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5357697606086731},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.488427072763443},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.48203766345977783},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.45087099075317383},{"id":"https://openalex.org/keywords/hsl-and-hsv","display_name":"HSL and HSV","score":0.4290882349014282},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3002021908760071},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26956725120544434}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.9382957220077515},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8112215399742126},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.7791293859481812},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.7518917322158813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.697444498538971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6814920902252197},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.6632590293884277},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6407625079154968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237088441848755},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.6108788251876831},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.5887244939804077},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5764188170433044},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5357697606086731},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.488427072763443},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.48203766345977783},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.45087099075317383},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.4290882349014282},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3002021908760071},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26956725120544434},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2013.2243157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2013.2243157","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.840.4709","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.840.4709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ir.nctu.edu.tw:443/bitstream/11536/23636/1/000328939500022.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W106317687","https://openalex.org/W1553305639","https://openalex.org/W1643436318","https://openalex.org/W2003702046","https://openalex.org/W2014998309","https://openalex.org/W2041610210","https://openalex.org/W2051371471","https://openalex.org/W2056346283","https://openalex.org/W2061295289","https://openalex.org/W2068900689","https://openalex.org/W2084285154","https://openalex.org/W2084917846","https://openalex.org/W2088538848","https://openalex.org/W2093602198","https://openalex.org/W2097130407","https://openalex.org/W2100329651","https://openalex.org/W2100604996","https://openalex.org/W2101535108","https://openalex.org/W2106891293","https://openalex.org/W2112019085","https://openalex.org/W2115284375","https://openalex.org/W2123046940","https://openalex.org/W2136401825","https://openalex.org/W2139518764","https://openalex.org/W2149720806","https://openalex.org/W2152254169","https://openalex.org/W2158537567","https://openalex.org/W2301847393","https://openalex.org/W4285719527","https://openalex.org/W6604338981","https://openalex.org/W6633088995","https://openalex.org/W6636639640","https://openalex.org/W6675078674","https://openalex.org/W6697798680"],"related_works":["https://openalex.org/W2061321107","https://openalex.org/W69379142","https://openalex.org/W3170402548","https://openalex.org/W1972421294","https://openalex.org/W847417172","https://openalex.org/W2044382768","https://openalex.org/W2134513529","https://openalex.org/W2995372689","https://openalex.org/W1997075422","https://openalex.org/W1973005783"],"abstract_inverted_index":{"An":[0,56],"image":[1,13,22,137],"fusion":[2,23],"method":[3],"must":[4],"ideally":[5],"preserve":[6],"both":[7],"the":[8,11,15,18,26,37,43,77,95,99,108,111,115,144,149,157,160],"detail":[9],"of":[10,17,29,36,98,114,159],"panchromatic":[12],"and":[14,53,66,107,131,135],"color":[16,46,51,64,68,83],"multispectral":[19],"image.":[20],"Existing":[21],"methods":[24,41],"incur":[25],"gamut":[27,78],"problem":[28,44,79],"creating":[30],"new":[31],"colors":[32],"which":[33,48],"fall":[34],"out":[35],"RGB":[38,100,103,116],"cube.":[39],"These":[40],"solve":[42,76],"by":[45,102,118],"clipping":[47],"yields":[49],"undesirable":[50],"distortions":[52],"contrast":[54],"reductions.":[55],"improved":[57],"nonlinear":[58],"IHS":[59,105,121],"(intensity,":[60],"hue,":[61],"saturation;":[62],"iNIHS)":[63],"space":[65,87],"related":[67],"transformations":[69],"are":[70,140],"proposed":[71,161],"in":[72,133],"this":[73],"paper":[74],"to":[75,82,104,120],"without":[80],"appealing":[81],"clipping.":[84],"The":[85],"iNIHS":[86],"includes":[88],"two":[89],"halves,":[90],"one":[91],"being":[92],"constructed":[93],"from":[94,110],"lower":[96],"half":[97,113],"cube":[101,117],"transformations,":[106],"other":[109],"upper":[112],"CMY":[119],"transformations.":[122],"While":[123],"incurring":[124],"no":[125],"out-of-gamut":[126],"colors,":[127],"desired":[128],"intensity":[129],"substitutions":[130],"additions":[132],"substitutive":[134],"additive":[136],"fusions,":[138],"respectively,":[139],"all":[141],"achievable,":[142],"with":[143],"saturation":[145],"component":[146],"regulated":[147],"within":[148],"maximum":[150],"attainable":[151],"range.":[152],"Good":[153],"experimental":[154],"results":[155],"show":[156],"feasibility":[158],"method.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
