{"id":"https://openalex.org/W2591798736","doi":"https://doi.org/10.1109/tip.2017.2679440","title":"Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking","display_name":"Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking","publication_year":2017,"publication_date":"2017-03-08","ids":{"openalex":"https://openalex.org/W2591798736","doi":"https://doi.org/10.1109/tip.2017.2679440","mag":"2591798736","pmid":"https://pubmed.ncbi.nlm.nih.gov/28287973"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2679440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2679440","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100648222","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-2956-2846"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071389442","display_name":"Chenyan Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyan Bai","raw_affiliation_strings":["College of Information Engineering and Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering and Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016399094","display_name":"Zhouchen Lin","orcid":"https://orcid.org/0000-0003-1493-7569"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouchen Lin","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210099312","https://openalex.org/I183067930"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027501725","display_name":"Jian Yu","orcid":"https://orcid.org/0000-0002-9488-5182"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yu","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100648222"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.4692,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87861581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":"5","first_page":"2381","last_page":"2393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9998999834060669,"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":0.9976000189781189,"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":0.9155138731002808},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7506580352783203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6413683891296387},{"id":"https://openalex.org/keywords/realizability","display_name":"Realizability","score":0.6226845383644104},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.5847281217575073},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5432114005088806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4998905658721924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.472050279378891},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4647257924079895},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45945602655410767},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44574135541915894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44225844740867615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35376477241516113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34747159481048584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27642953395843506},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2670019865036011},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2460845708847046},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.23299628496170044}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.9155138731002808},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7506580352783203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6413683891296387},{"id":"https://openalex.org/C2776378722","wikidata":"https://www.wikidata.org/wiki/Q3454417","display_name":"Realizability","level":2,"score":0.6226845383644104},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.5847281217575073},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5432114005088806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4998905658721924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.472050279378891},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4647257924079895},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45945602655410767},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44574135541915894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44225844740867615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35376477241516113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34747159481048584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27642953395843506},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2670019865036011},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2460845708847046},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.23299628496170044},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2679440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2679440","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28287973","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28287973","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1989447638","display_name":null,"funder_award_id":"61370129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3875471163","display_name":null,"funder_award_id":"61231002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7483285578","display_name":null,"funder_award_id":"61625301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863732217","display_name":null,"funder_award_id":"61632004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W96697480","https://openalex.org/W1784617778","https://openalex.org/W1896557176","https://openalex.org/W1912194039","https://openalex.org/W1930116263","https://openalex.org/W1966495910","https://openalex.org/W1969210895","https://openalex.org/W1971114016","https://openalex.org/W1972091546","https://openalex.org/W1983049712","https://openalex.org/W1988832226","https://openalex.org/W1995139236","https://openalex.org/W2008346065","https://openalex.org/W2014696083","https://openalex.org/W2021395519","https://openalex.org/W2021517349","https://openalex.org/W2025918664","https://openalex.org/W2028140315","https://openalex.org/W2031489346","https://openalex.org/W2035192779","https://openalex.org/W2053523313","https://openalex.org/W2069808690","https://openalex.org/W2071631699","https://openalex.org/W2075978622","https://openalex.org/W2079646161","https://openalex.org/W2083470163","https://openalex.org/W2091371007","https://openalex.org/W2102129292","https://openalex.org/W2105464873","https://openalex.org/W2106111212","https://openalex.org/W2107517216","https://openalex.org/W2107811835","https://openalex.org/W2114122776","https://openalex.org/W2119167889","https://openalex.org/W2122548617","https://openalex.org/W2128659236","https://openalex.org/W2130394175","https://openalex.org/W2134033146","https://openalex.org/W2136235822","https://openalex.org/W2145096794","https://openalex.org/W2150675807","https://openalex.org/W2153377815","https://openalex.org/W2155838693","https://openalex.org/W2157939001","https://openalex.org/W2160547390","https://openalex.org/W2163112044","https://openalex.org/W2167326765","https://openalex.org/W2186094539","https://openalex.org/W2255495011","https://openalex.org/W2293906034","https://openalex.org/W2296152789","https://openalex.org/W2296616510","https://openalex.org/W2410797836","https://openalex.org/W2510900399","https://openalex.org/W2536599074","https://openalex.org/W3098136770","https://openalex.org/W3125832721","https://openalex.org/W3140715649","https://openalex.org/W4249513058","https://openalex.org/W4250955649","https://openalex.org/W6682497232"],"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/W2963400025","https://openalex.org/W2137355623","https://openalex.org/W1974484650","https://openalex.org/W1527396660","https://openalex.org/W4383899970"],"abstract_inverted_index":{"Demosaicking":[0],"is":[1,76,102,226],"the":[2,10,51,59,74,84,98,120,125,130,146,150,178,193,196,220,227],"problem":[3],"of":[4,119,171,195,222,238],"reconstructing":[5],"a":[6,15,26,156,169,204],"color":[7,17,27],"image":[8,12],"from":[9],"raw":[11],"captured":[13],"by":[14],"digital":[16],"camera":[18],"that":[19,80,106,129,203,233],"covers":[20],"its":[21],"only":[22],"imaging":[23],"sensor":[24],"with":[25,149,210],"filter":[28],"array":[29],"(CFA).":[30],"Sparse":[31],"representation-based":[32,71,207,230],"demosaicking":[33,208,231],"has":[34],"been":[35],"shown":[36],"to":[37,83,93,163,168,183,192],"produce":[38],"superior":[39],"reconstruction":[40],"quality.":[41],"However,":[42,117],"almost":[43],"all":[44],"existing":[45,121],"algorithms":[46],"in":[47,88,236],"this":[48,62,185],"category":[49],"use":[50],"CFAs,":[52],"which":[53,161],"are":[54],"not":[55],"specifically":[56,212],"optimized":[57,213],"for":[58,69,107,123,139],"algorithms.":[60],"In":[61,199],"paper,":[63],"we":[64,201],"consider":[65,143],"optimally":[66],"designing":[67,140],"CFAs":[68,81,95,112],"sparse":[70,206,229],"demosaicking,":[72],"where":[73],"dictionary":[75],"well-chosen.":[77],"The":[78],"fact":[79],"correspond":[82],"projection":[85,109,131],"matrices":[86,110,132],"used":[87],"compressed":[89],"sensing":[90],"inspires":[91],"us":[92],"optimize":[94],"via":[96],"minimizing":[97,124,145],"mutual":[99,126,147],"coherence.":[100],"This":[101],"more":[103],"challenging":[104],"than":[105],"traditional":[108],"because":[111],"have":[113],"physical":[114,152],"realizability":[115,153],"constraints.":[116],"most":[118],"methods":[122],"coherence":[127,148],"require":[128],"should":[133],"be":[134],"unconstrained,":[135],"making":[136],"them":[137],"inapplicable":[138],"CFAs.":[141],"We":[142,176],"directly":[144],"CFA's":[151],"constraints":[154],"as":[155],"generalized":[157],"fractional":[158],"programming":[159],"problem,":[160],"needs":[162],"find":[164],"sufficiently":[165],"accurate":[166],"solutions":[167],"sequence":[170],"nonconvex":[172],"nonsmooth":[173],"minimization":[174],"problems.":[175],"adapt":[177],"redistributed":[179],"proximal":[180],"bundle":[181],"method":[182],"address":[184],"issue.":[186],"Experiments":[187],"on":[188],"benchmark":[189],"images":[190],"testify":[191],"superiority":[194],"proposed":[197],"method.":[198],"particular,":[200],"show":[202],"simple":[205],"algorithm":[209,232],"our":[211,223],"CFA":[214],"can":[215],"outperform":[216],"LSSC":[217,235],"[1].":[218],"To":[219],"best":[221],"knowledge,":[224],"it":[225],"first":[228],"beats":[234],"terms":[237],"CPSNR.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}