{"id":"https://openalex.org/W2123190848","doi":"https://doi.org/10.1109/iceei.2011.6021794","title":"Color to grayscale transform preserving natural order of hues","display_name":"Color to grayscale transform preserving natural order of hues","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2123190848","doi":"https://doi.org/10.1109/iceei.2011.6021794","mag":"2123190848"},"language":"en","primary_location":{"id":"doi:10.1109/iceei.2011.6021794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","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/A5007681816","display_name":"Chengho Hsin","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chengho Hsin","raw_affiliation_strings":["Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111920773","display_name":"Hoai-Nam Le","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hoai-Nam Le","raw_affiliation_strings":["Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079246829","display_name":"Shaw\u2010Jyh Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shaw-Jyh Shin","raw_affiliation_strings":["Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Department of Communications Engineering, Feng Chia University, Taichung, Taiwan#TAB#","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007681816"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":1.0303,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80581011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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":0.9943000078201294,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8498126268386841},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.809279203414917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7485237717628479},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.6876582503318787},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.6793138980865479},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6777619123458862},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.6392660140991211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389917135238647},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.590694785118103},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.5504667162895203},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5180537700653076},{"id":"https://openalex.org/keywords/false-color","display_name":"False color","score":0.5098442435264587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49216359853744507},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.466182678937912},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44187384843826294},{"id":"https://openalex.org/keywords/high-color","display_name":"High color","score":0.4175553321838379},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4108802378177643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.344726026058197},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28128916025161743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2751303017139435}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8498126268386841},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.809279203414917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7485237717628479},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.6876582503318787},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.6793138980865479},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6777619123458862},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.6392660140991211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389917135238647},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.590694785118103},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.5504667162895203},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5180537700653076},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.5098442435264587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49216359853744507},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.466182678937912},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44187384843826294},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.4175553321838379},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4108802378177643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.344726026058197},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28128916025161743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2751303017139435},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceei.2011.6021794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceei.2011.6021794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Electrical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W98781231","https://openalex.org/W1507749617","https://openalex.org/W1992110876","https://openalex.org/W2085020374","https://openalex.org/W2087401004","https://openalex.org/W2095398728","https://openalex.org/W2096513167","https://openalex.org/W2131548607","https://openalex.org/W2135719421","https://openalex.org/W2155350308","https://openalex.org/W2161509693","https://openalex.org/W4242806664","https://openalex.org/W4253465622","https://openalex.org/W6630508732"],"related_works":["https://openalex.org/W2734928352","https://openalex.org/W1981206111","https://openalex.org/W2117238110","https://openalex.org/W1964628873","https://openalex.org/W1520063650","https://openalex.org/W2349299344","https://openalex.org/W2107623111","https://openalex.org/W2759974325","https://openalex.org/W2160078939","https://openalex.org/W2102981950"],"abstract_inverted_index":{"Color-to-gray":[0],"conversion":[1],"in":[2,25,35],"many":[3],"applications":[4],"requires":[5],"preserving":[6],"both":[7],"the":[8,45,49,68,95,99,107,111,118,122,128],"visual":[9,119],"appearance":[10,120],"and":[11,48,77,84,156,168],"feature":[12,82],"discrimination":[13,83],"of":[14,23,51,71,88,94,101,110,121,134,145],"color":[15,46,55,86,89,103,123,135,146],"images.":[16,90,158],"The":[17,57,73,91,137],"existing":[18],"methods":[19],"are":[20],"still":[21],"need":[22],"improvement":[24],"these":[26],"aspects.":[27],"A":[28],"two-stage":[29],"color-to-gray":[30],"transform":[31],"algorithm":[32,97],"is":[33,61,75],"proposed":[34,96,138],"this":[36],"paper.":[37],"It":[38,114],"produces":[39],"a":[40,52,62,102],"grayscale":[41,149],"image":[42,104,124],"that":[43,162],"matches":[44],"contrast":[47,109],"lightness":[50,100],"given":[53],"input":[54],"imag1e.":[56],"first":[58],"stage":[59,93],"process":[60],"functional":[63,129],"mapping":[64,74,130],"scheme":[65],"based":[66],"on":[67],"natural":[69,152],"order":[70,87],"hues.":[72],"simple":[76],"fast,":[78],"yet":[79],"it":[80],"preserves":[81],"appropriate":[85],"second":[92],"recovers":[98],"through":[105],"adjusting":[106],"local":[108],"first-stage":[112],"output.":[113],"not":[115],"only":[116],"retains":[117],"but":[125],"also":[126],"compensates":[127],"for":[131],"possible":[132],"loss":[133],"information.":[136],"method":[139,164],"could":[140],"accurately":[141],"convert":[142],"various":[143],"categories":[144],"images":[147,170],"to":[148],"images,":[150,153,155],"including":[151],"computational":[154],"painting":[157],"Experimental":[159],"results":[160],"show":[161],"our":[163],"produced":[165],"perceptually":[166],"accurate":[167],"preferred":[169],"when":[171],"they":[172],"were":[173],"compared":[174],"with":[175],"other":[176],"schemes.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
