{"id":"https://openalex.org/W2903961431","doi":"https://doi.org/10.1109/gcce.2018.8574839","title":"Missing Image Data Estimation via Iterative Convolutional Sparse Coding","display_name":"Missing Image Data Estimation via Iterative Convolutional Sparse Coding","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2903961431","doi":"https://doi.org/10.1109/gcce.2018.8574839","mag":"2903961431"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5087595074","display_name":"M. Matsumoto","orcid":"https://orcid.org/0000-0002-6531-9907"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanao Matsumoto","raw_affiliation_strings":["School of Engineering, Hokkaido University, N-13, W-8, Kita-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Hokkaido University, N-13, W-8, Kita-ku, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103129627","display_name":"Naoki Saito","orcid":"https://orcid.org/0000-0001-7611-2461"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Saito","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14782593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7269862294197083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6918119788169861},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.571128785610199},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.5262248516082764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5243956446647644},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.49015411734580994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46706992387771606},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4669913351535797},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4569062292575836},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.425723671913147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27613013982772827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21242853999137878},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12303945422172546},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08244159817695618}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7269862294197083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6918119788169861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.571128785610199},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.5262248516082764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5243956446647644},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.49015411734580994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46706992387771606},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4669913351535797},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4569062292575836},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.425723671913147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27613013982772827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21242853999137878},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12303945422172546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08244159817695618},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1985552372","https://openalex.org/W1999788007","https://openalex.org/W2113945798","https://openalex.org/W2146337213","https://openalex.org/W2190662802","https://openalex.org/W2756218017","https://openalex.org/W4250297470","https://openalex.org/W6681686951"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W2107386309","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2148504016"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,15,34,74],"for":[3],"missing":[4,20,38,77,95],"image":[5,21,39,78,96],"data":[6,22,40,79,97],"estimation":[7,18,36,63,80,98],"is":[8,48],"presented":[9],"in":[10],"this":[11,88],"paper.":[12],"The":[13],"proposed":[14,73,102],"realizes":[16],"accurate":[17],"of":[19,37,56,69],"by":[23,43,59,81,87,100],"iterating":[24],"dictionary":[25,46,58],"learning":[26],"and":[27,54],"Convolutional":[28],"Sparse":[29],"Coding":[30],"(CSC).":[31],"Specifically,":[32],"our":[33,70],"iterates":[35],"via":[41],"CSC":[42],"using":[44,60,82],"a":[45,51],"that":[47],"constructed":[49],"from":[50],"target":[52],"image,":[53],"reconstruction":[55],"the":[57,61,66,72,76,101],"obtained":[62,86],"results.":[64],"As":[65],"main":[67],"contribution":[68],"paper,":[71],"enables":[75],"more":[83],"suitable":[84],"dictionaries":[85],"iterative":[89],"scheme.":[90],"Experimental":[91],"results":[92],"show":[93],"high":[94],"performance":[99],"method.":[103]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
