{"id":"https://openalex.org/W2028140315","doi":"https://doi.org/10.1117/12.2038425","title":"Minimized-Laplacian residual interpolation for color image demosaicking","display_name":"Minimized-Laplacian residual interpolation for color image demosaicking","publication_year":2014,"publication_date":"2014-03-07","ids":{"openalex":"https://openalex.org/W2028140315","doi":"https://doi.org/10.1117/12.2038425","mag":"2028140315"},"language":"en","primary_location":{"id":"doi:10.1117/12.2038425","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038425","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5036637879","display_name":"Daisuke Kiku","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daisuke Kiku","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039862436","display_name":"Yusuke Monno","orcid":"https://orcid.org/0000-0001-6733-3406"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Monno","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292386","display_name":"Masayuki Tanaka","orcid":"https://orcid.org/0000-0002-5756-1904"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Tanaka","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453747","display_name":"Masatoshi Okutomi","orcid":"https://orcid.org/0000-0001-5787-0742"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Okutomi","raw_affiliation_strings":["Tokyo Institute of Technology (Japan)","Tokyo institute of Technology (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Tokyo institute of Technology (Japan)","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6636,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.98003739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"9023","issue":null,"first_page":"90230L","last_page":"90230L"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9975000023841858,"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":0.9947999715805054,"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/demosaicing","display_name":"Demosaicing","score":0.9703199863433838},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6586143374443054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6509909629821777},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6142152547836304},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.5694030523300171},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.5411213636398315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5350732803344727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5056324005126953},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47698670625686646},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.47249355912208557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42393097281455994},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4154849350452423},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4107050597667694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39040184020996094},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.36686283349990845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.332541286945343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3208395838737488},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15378904342651367},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.1111823320388794},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.0806952714920044},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.06373628973960876},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06164067983627319}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.9703199863433838},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6586143374443054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6509909629821777},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6142152547836304},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.5694030523300171},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.5411213636398315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5350732803344727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5056324005126953},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47698670625686646},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.47249355912208557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42393097281455994},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4154849350452423},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4107050597667694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39040184020996094},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.36686283349990845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.332541286945343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3208395838737488},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15378904342651367},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.1111823320388794},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0806952714920044},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.06373628973960876},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06164067983627319},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2038425","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2038425","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":19,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1486062294","https://openalex.org/W1912194039","https://openalex.org/W1969210895","https://openalex.org/W1971114016","https://openalex.org/W2022007237","https://openalex.org/W2023009596","https://openalex.org/W2035192779","https://openalex.org/W2117396329","https://openalex.org/W2152178471","https://openalex.org/W2160956336","https://openalex.org/W2164734076","https://openalex.org/W4229750588","https://openalex.org/W4255501862","https://openalex.org/W6642362017","https://openalex.org/W6655932759","https://openalex.org/W6656007645","https://openalex.org/W6659304788","https://openalex.org/W6678827375"],"related_works":["https://openalex.org/W2197110145","https://openalex.org/W2187346426","https://openalex.org/W1884483970","https://openalex.org/W1990681604","https://openalex.org/W1974484650","https://openalex.org/W2581562246","https://openalex.org/W2963400025","https://openalex.org/W2116941250","https://openalex.org/W2016022956","https://openalex.org/W2327808098"],"abstract_inverted_index":{"A":[0],"color":[1,9,27,73],"difference":[2,28,74],"interpolation":[3,20],"technique":[4],"is":[5,90],"widely":[6],"used":[7],"for":[8,111],"image":[10,61],"demosaicking.":[11],"In":[12,42],"this":[13],"paper,":[14],"we":[15,45],"propose":[16],"<i>a":[17],"minimized-laplacian":[18],"residual":[19,60],"</i>(MLRI)":[21],"as":[22],"an":[23],"alternative":[24],"to":[25,66],"the":[26,31,43,47,53,57,71,78,82,108,112,116,119],"interpolation,":[29],"where":[30],"residuals":[32],"are":[33],"differences":[34],"between":[35],"observed":[36],"and":[37,118],"tentatively":[38],"estimated":[39],"pixel":[40,49],"values.":[41],"MLRI,":[44],"estimate":[46],"tentative":[48],"values":[50],"by":[51],"minimizing":[52],"Laplacian":[54],"energies":[55],"of":[56,92,115],"residuals.":[58],"This":[59],"transfor-":[62],"mation":[63],"allows":[64],"us":[65],"interpolate":[67],"more":[68],"easily":[69],"than":[70],"standard":[72],"transformation.":[75],"We":[76],"incorporate":[77],"proposed":[79,103],"MLRI":[80],"into":[81],"gradient":[83],"based":[84],"threshold":[85],"free":[86],"(GBTF)":[87],"algorithm,":[88],"which":[89],"one":[91],"current":[93],"state-of-":[94],"the-art":[95],"demosaicking":[96,104],"algorithms.":[97],"Experimental":[98],"results":[99],"demonstrate":[100],"that":[101],"our":[102],"algorithm":[105],"can":[106],"outperform":[107],"state-of-the-art":[109],"algorithms":[110],"30":[113],"images":[114],"IMAX":[117],"Kodak":[120],"datasets.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}