{"id":"https://openalex.org/W2806144254","doi":"https://doi.org/10.1109/tip.2018.2883815","title":"Low Cost Edge Sensing for High Quality Demosaicking","display_name":"Low Cost Edge Sensing for High Quality Demosaicking","publication_year":2018,"publication_date":"2018-11-28","ids":{"openalex":"https://openalex.org/W2806144254","doi":"https://doi.org/10.1109/tip.2018.2883815","mag":"2806144254","pmid":"https://pubmed.ncbi.nlm.nih.gov/30507508"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2883815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2883815","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.00771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yan Niu","orcid":"https://orcid.org/0000-0003-2861-4226"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Niu","raw_affiliation_strings":["State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2861-4226","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jihong Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Ouyang","raw_affiliation_strings":["State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wanli Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanli Zuo","raw_affiliation_strings":["State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fuxin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuxin Wang","raw_affiliation_strings":["State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Symbol Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.06,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.82376326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"2415","last_page":"2427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.5924999713897705,"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":0.5924999713897705,"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":0.11079999804496765,"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":0.04899999871850014,"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/demosaicing","display_name":"Demosaicing","score":0.9162999987602234},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6869999766349792},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5949000120162964},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.5587000250816345},{"id":"https://openalex.org/keywords/digital-camera","display_name":"Digital camera","score":0.5401999950408936},{"id":"https://openalex.org/keywords/bayer-filter","display_name":"Bayer filter","score":0.4408999979496002},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4124000072479248},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.366100013256073}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.9162999987602234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920999884605408},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6869999766349792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6388999819755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072999835014343},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.5587000250816345},{"id":"https://openalex.org/C2779705975","wikidata":"https://www.wikidata.org/wiki/Q62927","display_name":"Digital camera","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.4408999979496002},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.366100013256073},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.319599986076355},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3179999887943268},{"id":"https://openalex.org/C156483628","wikidata":"https://www.wikidata.org/wiki/Q313592","display_name":"Three-CCD camera","level":4,"score":0.31610000133514404},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3000999987125397},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2581999897956848},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2018.2883815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2883815","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:30507508","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30507508","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},{"id":"pmh:oai:arXiv.org:1806.00771","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.00771","pdf_url":"https://arxiv.org/pdf/1806.00771","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.00771","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.00771","pdf_url":"https://arxiv.org/pdf/1806.00771","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G307575888","display_name":null,"funder_award_id":"NSFC-61373003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6177979342","display_name":null,"funder_award_id":"NSFC-61472157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8925445860","display_name":null,"funder_award_id":"NSFC-61170092","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":51,"referenced_works":["https://openalex.org/W1892266664","https://openalex.org/W1912194039","https://openalex.org/W1969210895","https://openalex.org/W1977605884","https://openalex.org/W1982204247","https://openalex.org/W1983049712","https://openalex.org/W1989858041","https://openalex.org/W2002161233","https://openalex.org/W2008359728","https://openalex.org/W2012209609","https://openalex.org/W2021347102","https://openalex.org/W2021517349","https://openalex.org/W2022007237","https://openalex.org/W2031841708","https://openalex.org/W2060994093","https://openalex.org/W2068089394","https://openalex.org/W2070534498","https://openalex.org/W2081890057","https://openalex.org/W2082136663","https://openalex.org/W2086375115","https://openalex.org/W2093860217","https://openalex.org/W2095776733","https://openalex.org/W2105156560","https://openalex.org/W2108858258","https://openalex.org/W2114122776","https://openalex.org/W2127457591","https://openalex.org/W2132213784","https://openalex.org/W2133665775","https://openalex.org/W2140341478","https://openalex.org/W2140772072","https://openalex.org/W2151502878","https://openalex.org/W2152178471","https://openalex.org/W2162568075","https://openalex.org/W2164734076","https://openalex.org/W2164797116","https://openalex.org/W2168881191","https://openalex.org/W2171775321","https://openalex.org/W2263237637","https://openalex.org/W2294473561","https://openalex.org/W2295665303","https://openalex.org/W2332613473","https://openalex.org/W2410797836","https://openalex.org/W2437754452","https://openalex.org/W2510900399","https://openalex.org/W2514539209","https://openalex.org/W2536599074","https://openalex.org/W2554310243","https://openalex.org/W2556068545","https://openalex.org/W2556872594","https://openalex.org/W2755686313","https://openalex.org/W2792690686"],"related_works":[],"abstract_inverted_index":{"Digital":[0],"cameras":[1],"that":[2,79],"use":[3],"Color":[4],"Filter":[5],"Arrays":[6],"(CFA)":[7],"entail":[8],"a":[9,106,117],"demosaicking":[10,21,27,45,115,133],"procedure":[11],"to":[12,35,86,145,159,184],"form":[13],"full":[14],"RGB":[15],"images.":[16],"To":[17],"digital":[18],"camera":[19,30],"industry,":[20],"speed":[22,73,189],"is":[23,83,182,190],"as":[24,26],"important":[25],"accuracy,":[28,163],"because":[29],"users":[31],"have":[32],"been":[33],"accustomed":[34],"viewing":[36],"captured":[37,90],"photos":[38],"instantly.":[39],"Moreover,":[40],"the":[41,50,61,80,88,121,177],"cost":[42,51,109],"associated":[43],"with":[44,131,203],"should":[46],"not":[47],"go":[48],"beyond":[49],"saved":[52],"by":[53,116,135],"using":[54],"CFA.":[55],"For":[56],"this":[57,198],"purpose,":[58],"we":[59],"revisit":[60],"classical":[62],"Hamilton-Adams":[63],"(HA)":[64],"algorithm,":[65],"which":[66,113],"outperforms":[67],"many":[68],"sophisticated":[69],"techniques":[70],"in":[71],"both":[72],"and":[74,96],"accuracy.":[75,102],"Our":[76],"analysis":[77],"shows":[78],"HA":[81],"pipeline":[82],"highly":[84],"efficient":[85],"exploit":[87],"originally":[89],"data,":[91],"but":[92],"its":[93,101],"oversimplified":[94],"inter-":[95],"intra-channel":[97],"smoothness":[98],"formulation":[99],"hinders":[100],"We":[103,126],"therefore":[104],"propose":[105],"very":[107],"low":[108],"edge":[110],"sensing":[111],"scheme,":[112],"guides":[114],"logistic":[118],"functional":[119],"of":[120,147,161,173,179,192],"difference":[122],"between":[123],"directional":[124],"variations.":[125],"extensively":[127],"compare":[128],"our":[129,151,164,180,188],"algorithm":[130,181],"27":[132],"algorithms":[134],"running":[136],"their":[137],"open":[138],"source":[139],"codes":[140],"on":[141],"benchmark":[142],"datasets.":[143],"Compared":[144],"methods":[146,160],"similar":[148,162],"computational":[149],"cost,":[150],"method":[152,165],"achieves":[153],"substantially":[154],"higher":[155],"accuracy;":[156],"Whereas":[157],"compared":[158],"has":[166],"significantly":[167],"lower":[168],"cost.":[169],"On":[170],"test":[171],"images":[172],"currently":[174],"popular":[175],"resolution,":[176],"quality":[178],"comparable":[183],"top":[185],"performers,":[186],"yet":[187],"tens":[191],"times":[193],"faster.":[194],"Source":[195],"code":[196],"for":[197],"work":[199],"will":[200],"be":[201],"released":[202],"paper":[204],"publication.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2018-06-13T00:00:00"}
