{"id":"https://openalex.org/W2636455040","doi":"https://doi.org/10.1109/icassp.2017.7952469","title":"Color demosaicking via nonlocal tensor representation","display_name":"Color demosaicking via nonlocal tensor representation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2636455040","doi":"https://doi.org/10.1109/icassp.2017.7952469","mag":"2636455040"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100729418","display_name":"Lili Huang","orcid":"https://orcid.org/0000-0002-8753-3170"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lili Huang","raw_affiliation_strings":["Guangxi University of Science and Technology, Liuzhou, China","Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]},{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941388","display_name":"Xuan Wu","orcid":"https://orcid.org/0000-0001-8031-4154"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950655","display_name":"Wenze Shao","orcid":"https://orcid.org/0000-0001-6869-7789"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenze Shao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622133","display_name":"Hongyi Liu","orcid":"https://orcid.org/0000-0001-8941-4346"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyi Liu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wei","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101842342","display_name":"Liang Xiao","orcid":"https://orcid.org/0000-0001-6959-4343"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xiao","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100729418"],"corresponding_institution_ids":["https://openalex.org/I18570673","https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.1025,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44692793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"66","issue":null,"first_page":"1812","last_page":"1816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9959999918937683,"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":0.9939000010490417,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.7093914747238159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642217755317688},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.5995989441871643},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.54697185754776},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5459389686584473},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.5314784049987793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48522210121154785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4724586009979248},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4544340968132019},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4465925395488739},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4408068060874939},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42077067494392395},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.23825496435165405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2355700433254242},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.1610587239265442},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13249292969703674},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10587388277053833},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08297789096832275},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06911394000053406}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7093914747238159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642217755317688},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.5995989441871643},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.54697185754776},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5459389686584473},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.5314784049987793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48522210121154785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4724586009979248},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4544340968132019},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4465925395488739},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4408068060874939},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42077067494392395},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.23825496435165405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2355700433254242},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.1610587239265442},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13249292969703674},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10587388277053833},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08297789096832275},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06911394000053406},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2018282388","https://openalex.org/W2024165284","https://openalex.org/W2053642301","https://openalex.org/W2066792693","https://openalex.org/W2070828225","https://openalex.org/W2073459066","https://openalex.org/W2095906131","https://openalex.org/W2096710051","https://openalex.org/W2114122776","https://openalex.org/W2120432039","https://openalex.org/W2127457591","https://openalex.org/W2131335073","https://openalex.org/W2141200867","https://openalex.org/W2153663612","https://openalex.org/W2536599074","https://openalex.org/W6656357712","https://openalex.org/W6668990524","https://openalex.org/W6679591791"],"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/W2116941250","https://openalex.org/W2137355623","https://openalex.org/W1974484650","https://openalex.org/W4383899970"],"abstract_inverted_index":{"A":[0],"single":[1],"sensor":[2,37],"camera":[3],"can":[4],"capture":[5],"scenes":[6],"by":[7,93,103],"means":[8],"of":[9,18,29,86,117],"color":[10,33],"filter":[11],"array.":[12,72],"Each":[13],"pixel":[14],"samples":[15],"only":[16],"one":[17],"the":[19,78,87,104,109,114,118,127,131],"three":[20,74],"primary":[21],"colors.":[22],"Color":[23],"demosaicking":[24],"(CDM)":[25],"is":[26,101],"a":[27,31,44,66],"process":[28],"reconstruction":[30],"full":[32],"image":[34],"from":[35],"this":[36,40],"data.":[38],"In":[39],"paper,":[41],"we":[42],"propose":[43],"novel":[45],"CDM":[46],"scheme":[47],"based":[48],"on":[49],"learned":[50,91],"simultaneous":[51],"sparse":[52,122],"coding":[53],"over":[54],"nonlocal":[55],"tensor":[56,100],"representation.":[57],"First,":[58],"similar":[59,110],"2D":[60],"patches":[61,111],"are":[62,90],"grouped":[63,88],"to":[64,112],"form":[65],"three-order":[67],"tensor,":[68,89],"that":[69,81],"is,":[70],"3D":[71],"Then,":[73],"sub-dictionaries,":[75],"which":[76,107],"characterize":[77],"coherent":[79],"structures":[80],"appear":[82],"in":[83,120,130],"each":[84],"dimension":[85],"jointly":[92],"using":[94],"Tucker":[95],"decomposition.":[96,123],"The":[97],"consequent":[98],"coefficient":[99],"imposed":[102],"grouped-block-sparsity":[105],"constraint,":[106],"forces":[108],"share":[113],"same":[115],"atoms":[116],"dictionaries":[119],"their":[121],"Experimental":[124],"results":[125],"demonstrate":[126],"effectiveness":[128],"both":[129],"average":[132],"CPSNR":[133],"and":[134],"visual":[135],"quality.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}