{"id":"https://openalex.org/W2574559646","doi":"https://doi.org/10.2352/issn.2470-1173.2016.20.color-314","title":"A Learning-based Approach to Image Demosaicking with Spatial Autocorrelation Analysis","display_name":"A Learning-based Approach to Image Demosaicking with Spatial Autocorrelation Analysis","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2574559646","doi":"https://doi.org/10.2352/issn.2470-1173.2016.20.color-314","mag":"2574559646"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.20.color-314","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.20.color-314","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5000459808","display_name":"Min-Kook Choi","orcid":"https://orcid.org/0000-0001-7610-631X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Min-Kook Choi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035785290","display_name":"Chan Joo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan Joo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017958161","display_name":"Hyun-Gyu Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyun-Gyu Lee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676173","display_name":"Sang\u2010Chul Lee","orcid":"https://orcid.org/0000-0002-6973-2416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sang-Chul Lee","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000459808"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15864465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"20","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9460999965667725,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9460999965667725,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9047999978065491,"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/T10862","display_name":"AI in cancer detection","score":0.9003000259399414,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6698026061058044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5666717886924744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5135219693183899},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.4881173074245453},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4448612630367279},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4427649676799774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4347226023674011},{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.41245436668395996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40509751439094543},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3802841603755951},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.1852741539478302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17851871252059937}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6698026061058044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5666717886924744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135219693183899},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.4881173074245453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4448612630367279},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4427649676799774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4347226023674011},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.41245436668395996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40509751439094543},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3802841603755951},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.1852741539478302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17851871252059937}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.20.color-314","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.20.color-314","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"mag:2574559646","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/clrimg/clrimg2016.html#ChoiJLL16","pdf_url":null,"source":{"id":"https://openalex.org/S4306506588","display_name":"Color Imaging: Displaying, Processing, Hardcopy, and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Color Imaging: Displaying, Processing, Hardcopy, and Applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3160851557","https://openalex.org/W3148716648","https://openalex.org/W2021395519","https://openalex.org/W2890932363","https://openalex.org/W2554307374","https://openalex.org/W3102307785","https://openalex.org/W2900763010","https://openalex.org/W2189534225","https://openalex.org/W2907480780","https://openalex.org/W2888308766","https://openalex.org/W15600468","https://openalex.org/W1836017862","https://openalex.org/W2079078608","https://openalex.org/W2185661937","https://openalex.org/W2960983094","https://openalex.org/W2557236696","https://openalex.org/W2809529986","https://openalex.org/W2062531388","https://openalex.org/W2403593303","https://openalex.org/W69660784"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,18],"two":[3],"stage":[4,54],"image":[5,30],"demosaicking":[6,65],"method":[7,78],"for":[8],"Bayer":[9],"color":[10],"filter":[11],"array":[12],"(CFA)":[13],"images.":[14],"Pixel":[15],"interpolation":[16],"using":[17],"Bayesian":[19],"and/or":[20],"SVM":[21],"classifier":[22],"is":[23,37],"followed":[24],"by":[25,63],"renegotiation":[26],"of":[27,42,48],"the":[28,40,49,71],"interpolated":[29,50],"with":[31,70,88],"an":[32],"auto-correlation":[33],"function":[34],"(ACF),":[35],"which":[36],"applied":[38],"to":[39,59],"distribution":[41],"edge":[43,81],"strengths":[44],"at":[45],"each":[46],"pixel":[47],"image.":[51],"This":[52],"second":[53],"can":[55],"also":[56],"be":[57],"used":[58],"post-process":[60],"images":[61],"produced":[62],"other":[64,90],"methods.":[66],"Experimental":[67],"results":[68],"obtained":[69],"Kodak":[72],"PhotoCD":[73],"benchmark":[74],"show":[75],"that":[76],"our":[77],"shows":[79],"enhanced":[80],"and":[82,85],"texture":[83],"details":[84],"when":[86],"compared":[87],"three":[89],"methods":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
