{"id":"https://openalex.org/W2397223729","doi":"https://doi.org/10.5220/0004862104530459","title":"Image Decolorization by Maximally Preserving Color Contrast","display_name":"Image Decolorization by Maximally Preserving Color Contrast","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2397223729","doi":"https://doi.org/10.5220/0004862104530459","mag":"2397223729"},"language":"en","primary_location":{"id":"doi:10.5220/0004862104530459","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004862104530459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","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":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64374978,"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":"453","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T11666","display_name":"Color Science and Applications","score":0.9927999973297119,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6793177127838135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6006640195846558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5958240032196045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5743539333343506},{"id":"https://openalex.org/keywords/color-contrast","display_name":"Color contrast","score":0.45203885436058044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41591694951057434}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6793177127838135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6006640195846558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5958240032196045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5743539333343506},{"id":"https://openalex.org/C2984178911","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Color contrast","level":2,"score":0.45203885436058044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41591694951057434}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004862104530459","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0004862104530459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"We":[0,94],"propose":[1],"a":[2,6,34,63,82,105,110,128],"method":[3,146],"to":[4,9,117,126,131,149],"convert":[5,127],"color":[7,17,21,35,50,55,88,129],"image":[8,22,44,130],"its":[10,49,132],"gray":[11,27,31,73,91,133],"representation":[12],"with":[13,90],"the":[14,20,30,43,54,72,79,96,102,118,141],"objective":[15],"that":[16,67,85,108,113],"contrast":[18,28,56,70,89,92],"in":[19,29,71,147],"is":[23,78,114,123],"maximally":[24,68],"preserved":[25],"as":[26],"image.":[32,74],"Given":[33],"image,":[36],"we":[37,61],"first":[38],"extract":[39],"unique":[40,59],"colors":[41],"of":[42,81,144],"through":[45],"robust":[46],"clustering":[47],"for":[48,104],"values.":[51],"Based":[52],"on":[53],"between":[57],"these":[58],"colors,":[60],"tailor":[62],"non-linear":[64],"decolorization":[65,106],"function":[66,107,122],"preserves":[69],"A":[75],"novelty":[76],"here":[77],"proposal":[80],"color-gray":[83,98,111],"feature":[84,112],"tightly":[86],"couple":[87],"information.":[93],"compute":[95],"optimal":[97,119],"feature,":[99],"and":[100,137],"drive":[101],"search":[103],"generates":[109],"most":[115],"similar":[116],"one.":[120],"This":[121],"then":[124],"used":[125],"representation.":[134],"Our":[135],"experiments":[136],"user":[138],"study":[139],"demonstrate":[140],"greater":[142],"effectiveness":[143],"this":[145],"comparison":[148],"previous":[150],"techniques.":[151]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}