{"id":"https://openalex.org/W2794196887","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301950","title":"Auto coder-decoder (CODEC) model based sparse representation for image super resolution","display_name":"Auto coder-decoder (CODEC) model based sparse representation for image super resolution","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2794196887","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301950","mag":"2794196887"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8301950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5011954673","display_name":"Qieshi Zhang","orcid":"https://orcid.org/0000-0001-6358-1840"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qieshi Zhang","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education (Shaanxi Normal University), Xi'an, China","School of Computer Science, Shaanxi Normal University, Xi'an, China","Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education (Shaanxi Normal University), Xi'an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069311354","display_name":"Liyan Gu","orcid":"https://orcid.org/0000-0002-4609-3578"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyan Gu","raw_affiliation_strings":["Channel Algorithm Platform Department, Huawei Technologies Co.,Ltd., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Channel Algorithm Platform Department, Huawei Technologies Co.,Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705358","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0002-3131-3275"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China","The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102869694","display_name":"Xiaojun Wu","orcid":"https://orcid.org/0000-0002-7779-553X"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Wu","raw_affiliation_strings":["Key Laboratory of Modern Teaching Technology, Ministry of Education (Shaanxi Normal University), Xi'an, China","School of Computer Science, Shaanxi Normal University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Teaching Technology, Ministry of Education (Shaanxi Normal University), Xi'an, China","institution_ids":["https://openalex.org/I88830068"]},{"raw_affiliation_string":"School of Computer Science, Shaanxi Normal University, Xi'an, China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066452160","display_name":"Sei\u2010ichiro Kamata","orcid":"https://orcid.org/0000-0002-1496-2417"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sei-ichiro Kamata","raw_affiliation_strings":["Graduate School of Information, Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011954673"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I88830068"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22781895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"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/codec","display_name":"Codec","score":0.7893186807632446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7872987985610962},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.7160336375236511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.655058741569519},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6002691388130188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5654367804527283},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5634391903877258},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5307270288467407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5280851721763611},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5144394040107727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45571422576904297},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4518324136734009}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.7893186807632446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872987985610962},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.7160336375236511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.655058741569519},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6002691388130188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5654367804527283},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5634391903877258},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5307270288467407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5280851721763611},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5144394040107727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45571422576904297},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4518324136734009},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8301950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W19793066","https://openalex.org/W1531103298","https://openalex.org/W2019607443","https://openalex.org/W2044011870","https://openalex.org/W2070977875","https://openalex.org/W2087380704","https://openalex.org/W2097074225","https://openalex.org/W2109047032","https://openalex.org/W2114122776","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2151452149","https://openalex.org/W2536599074","https://openalex.org/W6600792419"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"In":[0],"our":[1],"daily":[2],"life,":[3],"the":[4,20,31,37,48,53,66,71,83,105],"high":[5],"quality":[6],"image":[7,21,38],"is":[8,44,58,75,90],"widely":[9,45,59],"used":[10],"in":[11,78],"varieties":[12],"of":[13,34,50,68],"fields,":[14],"but":[15],"sometimes":[16],"we":[17],"cannot":[18,64],"capture":[19],"with":[22],"idea":[23],"resolution":[24,32,40,98],"due":[25],"to":[26,92],"some":[27],"influences.":[28],"For":[29],"solving":[30],"limitation":[33],"imaging":[35],"sensors,":[36],"super":[39],"(SR)":[41],"representation":[42],"technology":[43],"researched.":[46],"Considering":[47],"advantage":[49],"sparse":[51],"representation,":[52],"dictionary":[54],"learning":[55],"based":[56],"methods":[57],"studied.":[60],"However,":[61],"landmark":[62],"atoms":[63],"provide":[65],"representations":[67],"images,":[69],"since":[70],"general":[72],"feature":[73,79],"extractors":[74],"universally":[76],"applicable":[77],"extraction.":[80],"To":[81],"overcome":[82],"drawbacks,":[84],"an":[85],"auto":[86],"coder-decoder":[87],"(CODEC)":[88],"model":[89],"proposed":[91,106],"extract":[93],"representative":[94],"features":[95],"from":[96],"low":[97],"(LR)":[99],"images.":[100],"The":[101],"experimental":[102],"results":[103],"indicate":[104],"method":[107],"can":[108],"obtain":[109],"better":[110],"effect":[111],"than":[112],"other":[113],"methods.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
