{"id":"https://openalex.org/W4312674579","doi":"https://doi.org/10.1109/lsp.2022.3216116","title":"Structure and Texture Preserving Network for Real-World Image Super-Resolution","display_name":"Structure and Texture Preserving Network for Real-World Image Super-Resolution","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312674579","doi":"https://doi.org/10.1109/lsp.2022.3216116"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3216116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3216116","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5084662212","display_name":"Bijun Zhou","orcid":"https://orcid.org/0000-0002-8491-754X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bijun Zhou","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8491-754X","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043992452","display_name":"Huibin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huibin Yan","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8537-3532","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068468945","display_name":"Shuoyao Wang","orcid":"https://orcid.org/0000-0003-1395-4383"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuoyao Wang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1395-4383","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Province Engineering Laboratory for Digital Creative Technology, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084662212"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.2041,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50153458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"2173","last_page":"2177"},"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":0.9962000250816345,"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":0.9864000082015991,"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/discriminator","display_name":"Discriminator","score":0.854151725769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7501949071884155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053687572479248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6088768243789673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5328771471977234},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5251840353012085},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5232928395271301},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.49235546588897705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4677586257457733},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4570150673389435},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42599859833717346},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3358650207519531}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.854151725769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7501949071884155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053687572479248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6088768243789673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5328771471977234},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5251840353012085},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5232928395271301},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.49235546588897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4677586257457733},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4570150673389435},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42599859833717346},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3358650207519531},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3216116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3216116","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4777093837","display_name":null,"funder_award_id":"62101336","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8416182311","display_name":null,"funder_award_id":"2022A1515011301","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2147469781","https://openalex.org/W2242218935","https://openalex.org/W2503339013","https://openalex.org/W2507296351","https://openalex.org/W2607202125","https://openalex.org/W2741137940","https://openalex.org/W2883102461","https://openalex.org/W2891158090","https://openalex.org/W2949695917","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963704386","https://openalex.org/W2963814095","https://openalex.org/W2971292464","https://openalex.org/W2987150909","https://openalex.org/W3000491333","https://openalex.org/W3012322483","https://openalex.org/W3034595214","https://openalex.org/W3034785019","https://openalex.org/W3035302306","https://openalex.org/W3035557850","https://openalex.org/W3092290620","https://openalex.org/W3170878432","https://openalex.org/W3174060721","https://openalex.org/W3177140187","https://openalex.org/W3180712890","https://openalex.org/W3194499564","https://openalex.org/W3203631022","https://openalex.org/W3204971388","https://openalex.org/W3207673409","https://openalex.org/W4210527625","https://openalex.org/W4225986888","https://openalex.org/W4281492692","https://openalex.org/W4287102299","https://openalex.org/W6767785265"],"related_works":["https://openalex.org/W3044651058","https://openalex.org/W3152929143","https://openalex.org/W2132132164","https://openalex.org/W1967418220","https://openalex.org/W2130228941","https://openalex.org/W3214851576","https://openalex.org/W2210334829","https://openalex.org/W4236771684","https://openalex.org/W2374828682","https://openalex.org/W2381200820"],"abstract_inverted_index":{"Real-world":[0],"image":[1,13],"super-resolution":[2],"(Real-SR)":[3],"is":[4,117],"a":[5,46,65,95],"challenging":[6],"task":[7],"due":[8],"to":[9,70,119],"the":[10,38,54,59,72,91,103,113,127,138],"unknown":[11],"complex":[12],"degradation.":[14],"Recent":[15],"research":[16],"on":[17,107,133],"Real-SR":[18],"has":[19],"achieved":[20],"remarkable":[21],"progress":[22],"by":[23,77],"degradation":[24,158],"process":[25],"modeling;":[26],"however,":[27],"there":[28],"are":[29],"still":[30],"undesired":[31],"structural":[32,55,80],"distortions":[33,56],"and":[34,48],"over-smoothed":[35],"textures":[36,121],"in":[37,126,143],"recovered":[39],"images.":[40],"In":[41],"this":[42],"letter,":[43],"we":[44,63,89,100],"propose":[45,64],"structure":[47,66],"texture":[49],"preserving":[50],"network,":[51],"towards":[52],"reducing":[53],"while":[57],"refining":[58],"perceptual-pleasant":[60],"textures.":[61],"Specifically,":[62],"tensor":[67],"(ST)":[68],"branch":[69],"guide":[71],"restoration":[73],"of":[74,140,156],"high-resolution":[75],"images":[76,155],"extracting":[78],"channel-aggregated":[79],"information.":[81],"To":[82],"further":[83],"adaptively":[84],"optimize":[85],"different":[86,157],"local":[87,108,129],"texture,":[88],"replace":[90],"global":[92],"discriminator":[93,104],"with":[94,122],"global-local":[96],"discriminator.":[97],"By":[98],"\u201clocal,\u201d":[99],"mean":[101],"that":[102],"loss,":[105],"imposed":[106],"areas":[109],"randomly":[110],"selected":[111,128],"from":[112],"generated":[114],"SR":[115,149],"image,":[116],"minimized":[118],"generate":[120],"great":[123],"visual":[124],"perception":[125],"areas.":[130],"Experimental":[131],"results":[132],"five":[134],"real-world":[135],"datasets":[136],"demonstrate":[137],"superiority":[139],"our":[141],"methods":[142],"restoring":[144],"structures,":[145],"generating":[146],"visually":[147],"realistic":[148],"images,":[150],"as":[151,153],"well":[152],"handling":[154],"levels.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}