{"id":"https://openalex.org/W3010041561","doi":"https://doi.org/10.1109/icsai48974.2019.9010122","title":"Cascade Wide Activation Multi-Scale Networks for Single Image Super-Resolution","display_name":"Cascade Wide Activation Multi-Scale Networks for Single Image Super-Resolution","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010041561","doi":"https://doi.org/10.1109/icsai48974.2019.9010122","mag":"3010041561"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100410221","display_name":"Yiwei Zhang","orcid":"https://orcid.org/0000-0003-0140-144X"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Zhang","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062156254","display_name":"He Huang","orcid":"https://orcid.org/0000-0001-6261-0419"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016292021","display_name":"Qingliang Chen","orcid":"https://orcid.org/0000-0001-5849-8268"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingliang Chen","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437188","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-9080-8027"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103759248","display_name":"Jianxing Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxing Liang","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485888","display_name":"Hong Yin","orcid":"https://orcid.org/0000-0002-0682-6781"},"institutions":[{"id":"https://openalex.org/I72565114","display_name":"Luoyang Institute of Science and Technology","ror":"https://ror.org/04nraex26","country_code":"CN","type":"education","lineage":["https://openalex.org/I72565114"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yin","raw_affiliation_strings":["Luoyang Electronic Equipment Test Center of China, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luoyang Electronic Equipment Test Center of China, Luoyang, China","institution_ids":["https://openalex.org/I72565114"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053070701","display_name":"Xiaobing Feng","orcid":"https://orcid.org/0000-0003-2909-7750"},"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":"Xiaobing Feng","raw_affiliation_strings":["Shanghai Huawei Haisi Research Institute, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Huawei Haisi Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434092","display_name":"Shasha Wang","orcid":"https://orcid.org/0000-0003-3688-2079"},"institutions":[{"id":"https://openalex.org/I4210095311","display_name":"Pre School Learning Alliance","ror":"https://ror.org/00wbxbw73","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210095311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shasha Wang","raw_affiliation_strings":["PLA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA","institution_ids":["https://openalex.org/I4210095311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1222","last_page":"1227"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.765518069267273},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7292579412460327},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6948005557060242},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6885673999786377},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6870542764663696},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6026164293289185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.533040463924408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5124772191047668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49928855895996094},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4451702833175659},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4441837966442108},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4146530032157898},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41110605001449585},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07812023162841797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765518069267273},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7292579412460327},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6948005557060242},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6885673999786377},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6870542764663696},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6026164293289185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.533040463924408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5124772191047668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49928855895996094},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4451702833175659},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4441837966442108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4146530032157898},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41110605001449585},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07812023162841797},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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":45,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1806901794","https://openalex.org/W1836465849","https://openalex.org/W1910615622","https://openalex.org/W2088254198","https://openalex.org/W2103844245","https://openalex.org/W2105250910","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2157190232","https://openalex.org/W2165698076","https://openalex.org/W2172128189","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2284050935","https://openalex.org/W2295634579","https://openalex.org/W2430196102","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2511730936","https://openalex.org/W2523714292","https://openalex.org/W2534320940","https://openalex.org/W2607041014","https://openalex.org/W2739757502","https://openalex.org/W2739815012","https://openalex.org/W2781335552","https://openalex.org/W2784790939","https://openalex.org/W2788343277","https://openalex.org/W2888285221","https://openalex.org/W2949117887","https://openalex.org/W2949650786","https://openalex.org/W2963102887","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W3043547428","https://openalex.org/W3105700508","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6717870063"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061","https://openalex.org/W2045818635"],"abstract_inverted_index":{"In":[0,39],"recent":[1],"years,":[2],"convolutional":[3],"neural":[4],"network":[5,47,86],"(CNN)":[6],"has":[7,30],"made":[8],"great":[9],"progress":[10],"in":[11,27],"the":[12,36,61,65,92,120],"field":[13],"of":[14,60],"single":[15],"image":[16],"super-resolution":[17],"(SR).":[18],"There":[19],"is":[20,53],"a":[21,45,71,82],"strong":[22],"correlation":[23,93],"between":[24,94],"multiple":[25],"scales":[26],"SR,":[28],"which":[29,52],"not":[31],"been":[32],"fully":[33,90],"utilized":[34],"by":[35,64],"previous":[37,121],"works.":[38,122],"this":[40],"paper,":[41],"we":[42],"first":[43],"propose":[44,81],"new":[46],"structure":[48],"based":[49],"on":[50,104],"WDSR,":[51],"called":[54,87],"JWDSR.":[55],"JWDSR":[56,85],"takes":[57],"full":[58],"advantage":[59],"features":[62],"generated":[63],"residual":[66],"blocks":[67],"and":[68,97],"leads":[69],"to":[70,75],"better":[72],"Peak":[73],"Signal":[74],"Noise":[76],"Ratio":[77],"(PSNR).":[78],"We":[79],"then":[80],"cascaded":[83],"multi-scale":[84,95,99],"CMDSR.":[88],"CMDSR":[89,110],"employed":[91],"networks":[96],"supports":[98],"SR":[100],"calculations.":[101],"Experiment":[102],"results":[103],"benchmark":[105],"data":[106],"sets":[107],"show":[108],"that":[109],"can":[111],"get":[112],"higher":[113],"PSNR":[114],"faster":[115],"with":[116],"fewer":[117],"parameters":[118],"than":[119]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}