{"id":"https://openalex.org/W2130670228","doi":"https://doi.org/10.1109/icip.2005.1530549","title":"Color embedding into gray images","display_name":"Color embedding into gray images","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2130670228","doi":"https://doi.org/10.1109/icip.2005.1530549","mag":"2130670228"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044603981","display_name":"Ricardo L. de Queiroz","orcid":"https://orcid.org/0000-0002-3911-1838"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"R.L. de Queiroz","raw_affiliation_strings":["Universidade de Brasilia (UnB), Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Brasilia (UnB), Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050977966","display_name":"Karen M. Braun","orcid":"https://orcid.org/0000-0003-2315-2448"},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.M. Braun","raw_affiliation_strings":["Xerox Corporation, Webster, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Corporation, Webster, NY, USA","institution_ids":["https://openalex.org/I173498003"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.998199999332428,"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/chrominance","display_name":"Chrominance","score":0.9675257205963135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7958254814147949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7942531108856201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6494327187538147},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5834618210792542},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.574527382850647},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5471217036247253},{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.5329542756080627},{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.46917062997817993},{"id":"https://openalex.org/keywords/false-color","display_name":"False color","score":0.42145371437072754},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.41039925813674927},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3434746265411377},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.287095308303833},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2789182662963867}],"concepts":[{"id":"https://openalex.org/C163204269","wikidata":"https://www.wikidata.org/wiki/Q355263","display_name":"Chrominance","level":3,"score":0.9675257205963135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7958254814147949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7942531108856201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494327187538147},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5834618210792542},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.574527382850647},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5471217036247253},{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.5329542756080627},{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.46917062997817993},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.42145371437072754},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.41039925813674927},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3434746265411377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.287095308303833},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2789182662963867}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1492380776","https://openalex.org/W1496489693","https://openalex.org/W1658679052","https://openalex.org/W4230779637"],"related_works":["https://openalex.org/W2477316675","https://openalex.org/W2496038143","https://openalex.org/W2148542303","https://openalex.org/W1969994692","https://openalex.org/W2105568911","https://openalex.org/W4252523353","https://openalex.org/W120278547","https://openalex.org/W2014892432","https://openalex.org/W4237608189","https://openalex.org/W2111563428"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,23,44,70],"reversible":[3],"method":[4],"to":[5,11,18],"convert":[6],"color":[7,36],"graphics":[8],"and":[9,33,47,78,87],"pictures":[10],"gray":[12,76],"images":[13],"based":[14],"on":[15,73],"mapping":[16],"colors":[17],"low-visibility":[19],"high-frequency":[20],"textures.":[21],"From":[22],"monochrome":[24],"textured":[25,41],"image,":[26],"the":[27,31,35,52,59,64,74,80],"decoder":[28,68],"can":[29],"identify":[30],"textures":[32],"recover":[34],"information.":[37],"An":[38],"image":[39,77],"is":[40,58],"by":[42,51],"carrying":[43],"wavelet":[45,71],"transform":[46,72],"replacing":[48],"band-pass":[49],"sub-bands":[50],"chrominance":[53,81],"images.":[54],"The":[55,67],"low-pass":[56],"sub-band":[57],"same":[60],"as":[61],"that":[62],"of":[63],"luminance":[65],"signal.":[66],"performs":[69],"received":[75],"recovers":[79],"channels.":[82],"Registration":[83],"problems":[84],"are":[85,89],"discussed":[86],"examples":[88],"presented.":[90]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}