{"id":"https://openalex.org/W4392824670","doi":"https://doi.org/10.1109/tmm.2024.3374576","title":"CTE-Net: Contextual Texture Enhancement Network for Image Super-Resolution","display_name":"CTE-Net: Contextual Texture Enhancement Network for Image Super-Resolution","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392824670","doi":"https://doi.org/10.1109/tmm.2024.3374576"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3374576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3374576","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","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/A5092229448","display_name":"Dong Liu","orcid":"https://orcid.org/0009-0006-3663-9254"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Department of Mathematics, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029247516","display_name":"Xiaofeng Wang","orcid":"https://orcid.org/0000-0002-0861-8193"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wang","raw_affiliation_strings":["Department of Mathematics, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076278720","display_name":"Ruidong Han","orcid":"https://orcid.org/0000-0002-4630-3731"},"institutions":[{"id":"https://openalex.org/I110262843","display_name":"Yuncheng University","ror":"https://ror.org/03qt1g669","country_code":"CN","type":"education","lineage":["https://openalex.org/I110262843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruidong Han","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China","School of Mathematics and Information Technology, Yuncheng University, Yuncheng, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, China","institution_ids":[]},{"raw_affiliation_string":"School of Mathematics and Information Technology, Yuncheng University, Yuncheng, China","institution_ids":["https://openalex.org/I110262843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040878857","display_name":"Ningning Bai","orcid":"https://orcid.org/0009-0009-0002-3230"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningning Bai","raw_affiliation_strings":["Department of Mathematics, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020803374","display_name":"Jianpeng Hou","orcid":"https://orcid.org/0009-0008-9425-0815"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianpeng Hou","raw_affiliation_strings":["Department of Mathematics, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006557413","display_name":"Shanmin Pang","orcid":"https://orcid.org/0000-0001-7217-864X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanmin Pang","raw_affiliation_strings":["School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092229448"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":4.7364,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95920789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":null,"first_page":"8000","last_page":"8013"},"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":0.9973000288009644,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7581914663314819},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6286017894744873},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5949357748031616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549139976501465},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5120261311531067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5091609358787537},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4852037727832794},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4700644910335541},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4270440936088562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36447596549987793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581914663314819},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6286017894744873},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5949357748031616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549139976501465},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5120261311531067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5091609358787537},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4852037727832794},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4700644910335541},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4270440936088562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36447596549987793}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3374576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3374576","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8252510314","display_name":null,"funder_award_id":"62376212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W935139217","https://openalex.org/W1791560514","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W2047643928","https://openalex.org/W2047920195","https://openalex.org/W2078008442","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2194775991","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2508457857","https://openalex.org/W2607041014","https://openalex.org/W2612585477","https://openalex.org/W2741137940","https://openalex.org/W2747898905","https://openalex.org/W2790508633","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2913036400","https://openalex.org/W2914107945","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2971026149","https://openalex.org/W2976718572","https://openalex.org/W3010250471","https://openalex.org/W3033835243","https://openalex.org/W3038124041","https://openalex.org/W3042201972","https://openalex.org/W3046131703","https://openalex.org/W3096739052","https://openalex.org/W3101659800","https://openalex.org/W3111132958","https://openalex.org/W3112318124","https://openalex.org/W3119887090","https://openalex.org/W3126104941","https://openalex.org/W3142659587","https://openalex.org/W3155072588","https://openalex.org/W3170026688","https://openalex.org/W3190240412","https://openalex.org/W3194499564","https://openalex.org/W3198884575","https://openalex.org/W3207918547","https://openalex.org/W3210054798","https://openalex.org/W4206211125","https://openalex.org/W4223483730","https://openalex.org/W4224209592","https://openalex.org/W4285599866","https://openalex.org/W4312759958","https://openalex.org/W4319300887","https://openalex.org/W4385525377","https://openalex.org/W4385764582","https://openalex.org/W6726381175"],"related_works":["https://openalex.org/W2166724105","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2003873690","https://openalex.org/W2165772202","https://openalex.org/W2612164513","https://openalex.org/W1980033651","https://openalex.org/W4230530180","https://openalex.org/W2388733570","https://openalex.org/W2153116791"],"abstract_inverted_index":{"The":[0,88,108,134,199],"object":[1],"of":[2,50,62,82,91,131,158,166,196],"image":[3,86],"super-resolution":[4,33,63],"reconstruction":[5,34,49],"is":[6,136],"to":[7,19,138,177,211],"overcome":[8],"the":[9,41,48,60,80,95,102,119,127,132,140,154,163,167,179,189,194,212,221],"limitations":[10],"imposed":[11],"by":[12,144],"hardware":[13],"imaging":[14],"conditions":[15],"and":[16,101,112,122,160,185],"patterns,":[17],"aiming":[18],"restore":[20],"high-frequency":[21],"details":[22,84],"in":[23,47,85],"images":[24,159],"through":[25],"signal":[26],"processing":[27],"techniques.":[28],"Recently,":[29],"deep":[30],"learning-based":[31],"single-image":[32],"(SISR)":[35],"has":[36],"achieved":[37],"remarkable":[38],"performance.":[39],"However,":[40],"current":[42],"methods":[43],"exhibit":[44],"inadequate":[45],"performance":[46,219],"texture":[51,73,83,197],"details,":[52],"thereby":[53,125,161,187],"posing":[54],"a":[55,70,146],"challenge":[56],"for":[57,183],"further":[58],"enhancing":[59,126],"accuracy":[61],"reconstruction.":[64],"In":[65,209],"this":[66],"study,":[67],"we":[68,171],"propose":[69],"novel":[71],"contextual":[72,103,156],"enhancement":[74,105],"network":[75],"(CTE-Net)":[76],"aimed":[77],"at":[78],"improving":[79],"level":[81],"super-resolution.":[87],"CTE-Net":[89],"comprises":[90],"two":[92],"crucial":[93],"components:":[94],"multi-level":[96],"feature":[97,128,180],"aggregation":[98],"module":[99,106],"(MFAM)":[100],"information":[104,157],"(CIEM).":[107],"MFAM":[109,184],"integrates":[110],"global":[111],"local":[113,173],"low-resolution":[114],"(LR)":[115],"features":[116],"from":[117],"both":[118],"pixel":[120],"space":[121],"channel":[123],"dimensions,":[124],"representation":[129],"capability":[130,165],"network.":[133],"CIEM":[135],"deployed":[137],"enhance":[139],"network's":[141,190],"learning":[142],"capacity":[143],"integrating":[145],"meticulously":[147],"designed":[148],"context-attention":[149],"mechanism,":[150],"which":[151],"effectively":[152],"explores":[153],"adjacent":[155],"amplifies":[162],"expressive":[164],"generated":[168],"features.":[169],"Moreover,":[170],"utilize":[172],"binary":[174],"patterns":[175],"(LBP)":[176],"guide":[178],"selection":[181],"strategies":[182],"CIEM,":[186],"prioritizing":[188],"decision":[191],"logic":[192],"towards":[193],"recovery":[195],"details.":[198],"extensive":[200],"experiments":[201],"demonstrate":[202],"that":[203],"our":[204,215],"method":[205,216],"yields":[206],"satisfactory":[207],"results.":[208],"comparison":[210],"state-of-the-art":[213],"approaches,":[214],"exhibits":[217],"superior":[218],"on":[220],"benchmark":[222],"datasets.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":13}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}