{"id":"https://openalex.org/W3166902592","doi":"https://doi.org/10.1109/icme51207.2021.9428128","title":"A Novel Attention Enhanced Residual-In-Residual Dense Network for Text Image Super-Resolution","display_name":"A Novel Attention Enhanced Residual-In-Residual Dense Network for Text Image Super-Resolution","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166902592","doi":"https://doi.org/10.1109/icme51207.2021.9428128","mag":"3166902592"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5108730177","display_name":"Minglong Xue","orcid":"https://orcid.org/0000-0002-9314-5019"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglong Xue","raw_affiliation_strings":["Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011349177","display_name":"Zhiheng Huang","orcid":"https://orcid.org/0000-0001-5982-9778"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Huang","raw_affiliation_strings":["Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021058812","display_name":"Ruo-Ze Liu","orcid":"https://orcid.org/0000-0002-4530-218X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruo-ze Liu","raw_affiliation_strings":["Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061696740","display_name":"Tong L\u00fc","orcid":"https://orcid.org/0000-0002-7051-5347"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Lu","raw_affiliation_strings":["Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,National Key Lab for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"National Key Lab for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.6684,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78217822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9950000047683716,"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/residual","display_name":"Residual","score":0.8893967866897583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490382790565491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6951190233230591},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.6717128753662109},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6295937895774841},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5851060152053833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5526764392852783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5027716159820557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4506736099720001},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22796159982681274}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8893967866897583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490382790565491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6951190233230591},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.6717128753662109},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6295937895774841},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5851060152053833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5526764392852783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5027716159820557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4506736099720001},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22796159982681274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W2008806374","https://openalex.org/W2103261301","https://openalex.org/W2121058967","https://openalex.org/W2144554289","https://openalex.org/W2476548250","https://openalex.org/W2607041014","https://openalex.org/W2891158090","https://openalex.org/W2947301138","https://openalex.org/W2963073614","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2965694823","https://openalex.org/W2972424968","https://openalex.org/W3015959778","https://openalex.org/W3082397598","https://openalex.org/W6602211262","https://openalex.org/W6624640001","https://openalex.org/W6720887540","https://openalex.org/W6727340567","https://openalex.org/W6729966448","https://openalex.org/W6754405603","https://openalex.org/W6755730432","https://openalex.org/W6767563286","https://openalex.org/W6779669310"],"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/W2143529858","https://openalex.org/W4367590696","https://openalex.org/W2142226356"],"abstract_inverted_index":{"Natural":[0],"scene":[1],"text":[2,28,44,109,119],"images":[3,29,120],"captured":[4],"by":[5],"handheld":[6],"devices":[7],"usually":[8],"cause":[9],"low":[10],"resolution":[11],"(LR)":[12],"problems,":[13],"thus":[14],"making":[15],"sub-sequent":[16],"detection":[17],"and":[18,71,102],"recognition":[19],"tasks":[20],"more":[21],"challenging.":[22],"To":[23],"address":[24],"this":[25,37],"problem,":[26],"LR":[27],"are":[30],"generally":[31],"super-resolution":[32,46,111,116],"(SR)":[33],"processed":[34],"first.":[35],"In":[36],"paper,":[38],"we":[39,85],"propose":[40],"a":[41],"novel":[42],"low-resolution":[43],"image":[45,110],"method.":[47],"This":[48],"method":[49,96,117],"adopts":[50],"the":[51,62,69,80,83,106,114,126],"residual-in-residual":[52],"dense":[53,64],"network":[54,65],"(RRDN)":[55],"to":[56,79,89],"extract":[57],"deeper":[58],"high-frequency":[59],"features":[60,73],"than":[61],"residual":[63],"(RDN).":[66],"Then,":[67],"enhances":[68],"spatial":[70],"channel":[72],"with":[74],"an":[75],"attention":[76],"mechanism.":[77],"According":[78],"characteristics":[81],"of":[82,105,121],"text,":[84],"added":[86],"gradient":[87],"loss":[88],"adversarial":[90],"learning.":[91],"Experiments":[92],"show":[93],"that":[94],"our":[95],"performs":[97],"well":[98],"in":[99],"both":[100],"qualitative":[101],"quantitative":[103],"aspects":[104],"latest":[107,127],"public":[108],"dataset.":[112],"Similarly,":[113],"proposed":[115],"for":[118],"natural":[122],"scenes":[123],"also":[124],"achieves":[125],"results.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
