{"id":"https://openalex.org/W2130958226","doi":"https://doi.org/10.1109/icip.2005.1529687","title":"Low-complexity linear demosaicing using joint spatial-chromatic image statistics","display_name":"Low-complexity linear demosaicing using joint spatial-chromatic image statistics","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2130958226","doi":"https://doi.org/10.1109/icip.2005.1529687","mag":"2130958226"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1529687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529687","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":"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/A5024074539","display_name":"Javier Portilla","orcid":"https://orcid.org/0000-0002-0147-2769"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J. Portilla","raw_affiliation_strings":["Visual Information Processing Group, Department of Computer Science  and Artif. Intell, Universidad de Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Visual Information Processing Group, Department of Computer Science  and Artif. Intell, Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020835529","display_name":"D. Otaduy","orcid":"https://orcid.org/0000-0002-5546-8909"},"institutions":[{"id":"https://openalex.org/I4210099652","display_name":"Centro de Investigaci\u00f3n y Desarrollo","ror":"https://ror.org/01297db79","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210099652"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"D. Otaduy","raw_affiliation_strings":["Centro de Investigaci\u00f3n y Desarrollo de la Armada, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n y Desarrollo de la Armada, Madrid, Spain","institution_ids":["https://openalex.org/I4210099652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011617101","display_name":"Carlos Dorronsoro","orcid":"https://orcid.org/0000-0001-5968-1128"},"institutions":[{"id":"https://openalex.org/I4210099652","display_name":"Centro de Investigaci\u00f3n y Desarrollo","ror":"https://ror.org/01297db79","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210099652"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C. Dorronsoro","raw_affiliation_strings":["Centro de Investigaci\u00f3n y Desarrollo de la Armada, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Centro de Investigaci\u00f3n y Desarrollo de la Armada, Madrid, Spain","institution_ids":["https://openalex.org/I4210099652"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024074539"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":2.0892,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88488686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9984999895095825,"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":0.9977999925613403,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6751461625099182},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5400899052619934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393386483192444},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.5392953157424927},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5231141448020935},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5125322341918945},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.49162083864212036},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.48317351937294006},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.46619266271591187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4582267701625824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45333442091941833},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4307664632797241},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.425481915473938},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41182565689086914},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.39635610580444336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2444465160369873},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20970839262008667},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20040616393089294},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.11385476589202881}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6751461625099182},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5400899052619934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393386483192444},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.5392953157424927},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5231141448020935},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5125322341918945},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.49162083864212036},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.48317351937294006},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.46619266271591187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4582267701625824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45333442091941833},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4307664632797241},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.425481915473938},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41182565689086914},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.39635610580444336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2444465160369873},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20970839262008667},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20040616393089294},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.11385476589202881},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2005.1529687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529687","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.74.5644","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.5644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://decsai.ugr.es/vip/files/conferences/cr2365.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":12,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1923911427","https://openalex.org/W2087401004","https://openalex.org/W2096865463","https://openalex.org/W2106111212","https://openalex.org/W2108858258","https://openalex.org/W2149354278","https://openalex.org/W2158646162","https://openalex.org/W2162568075","https://openalex.org/W2168881191","https://openalex.org/W3142334729","https://openalex.org/W6676056471"],"related_works":["https://openalex.org/W2197110145","https://openalex.org/W2187346426","https://openalex.org/W1884483970","https://openalex.org/W1990681604","https://openalex.org/W2581562246","https://openalex.org/W2734928352","https://openalex.org/W2963400025","https://openalex.org/W2137355623","https://openalex.org/W1974484650","https://openalex.org/W1527396660"],"abstract_inverted_index":{"We":[0,24,119],"present":[1],"an":[2,97,126],"efficient":[3],"linear":[4,54,63],"minimum":[5],"mean":[6],"square":[7],"error":[8],"(LMMSE)":[9],"method":[10,124],"for":[11,89,116],"reconstructing":[12],"full":[13,30],"color":[14,19,31,41,60,71,94],"images":[15,32],"from":[16,46],"single":[17],"sensor":[18],"filter":[20],"array":[21],"(CFA)":[22],"data.":[23],"use":[25],"a":[26,48,86],"representative":[27],"set":[28,49],"of":[29,50,65,73],"to":[33],"estimate":[34],"the":[35,58,74,79,105],"joint":[36,51],"spatial-chromatic":[37],"covariance":[38],"among":[39],"pixel":[40],"components.":[42],"Then,":[43],"we":[44,99],"derive":[45],"it":[47],"color-space,":[52],"small":[53],"kernels":[55],"which":[56],"predict":[57],"missing":[59],"samples":[61],"as":[62],"combinations":[64],"their":[66],"neighbor":[67],"observed":[68],"samples.":[69],"The":[70],"arrangement":[72],"local":[75,91],"mosaic":[76,92],"varies":[77],"with":[78],"window's":[80],"location,":[81],"and":[82,93,102,131],"this":[83,122],"results":[84],"into":[85],"different":[87],"predictor":[88],"every":[90],"sample.":[95],"As":[96],"extension,":[98],"include":[100],"blur":[101],"noise":[103],"in":[104],"training":[106],"process,":[107],"obtaining":[108],"localized":[109],"mosaic-constrained":[110],"Wiener":[111],"estimators":[112],"that":[113,121],"partially":[114],"compensate":[115],"these":[117],"degradations.":[118],"show":[120],"simple":[123],"provides":[125],"excellent":[127],"trade-off":[128],"between":[129],"performance":[130],"computational":[132],"cost.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}