{"id":"https://openalex.org/W4404914641","doi":"https://doi.org/10.1109/access.2024.3510136","title":"Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model","display_name":"Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404914641","doi":"https://doi.org/10.1109/access.2024.3510136"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3510136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510136","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3510136","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030784934","display_name":"Shrey Singh","orcid":"https://orcid.org/0000-0002-2685-1319"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shrey Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-2685-1319","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070077567","display_name":"Prateek Keserwani","orcid":"https://orcid.org/0000-0001-7611-6462"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prateek Keserwani","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036208317","display_name":"Partha Pratim Roy","orcid":"https://orcid.org/0000-0002-5735-5254"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Pratim Roy","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-5735-5254","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036975174","display_name":"Rajkumar Saini","orcid":"https://orcid.org/0000-0001-8532-0895"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rajkumar Saini","raw_affiliation_strings":["Department of Computer Science, Electrical and Space Engineering, Lule&#x00E5; Tekniska Universitet, Lule&#x00E5;, Sweden","Department of Computer Science, Electrical and Space Engineering, Lule&#x00E5; tekniska universitet, Lule&#x00E5;, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-8532-0895","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical and Space Engineering, Lule&#x00E5; Tekniska Universitet, Lule&#x00E5;, Sweden","institution_ids":["https://openalex.org/I190632392"]},{"raw_affiliation_string":"Department of Computer Science, Electrical and Space Engineering, Lule&#x00E5; tekniska universitet, Lule&#x00E5;, Sweden","institution_ids":["https://openalex.org/I190632392"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":2474,"currency":"EUR","value_usd":2668},"fwci":0.5423,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71941824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"187640","last_page":"187651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9538999795913696,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9538999795913696,"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/skeleton","display_name":"Skeleton (computer programming)","score":0.8776599168777466},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.7405809164047241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063546180725098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6878653168678284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6399123072624207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4394146800041199},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42383432388305664},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4104020297527313},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3677821755409241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3625119924545288}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.8776599168777466},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.7405809164047241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063546180725098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6878653168678284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6399123072624207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4394146800041199},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42383432388305664},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4104020297527313},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3677821755409241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3625119924545288},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3510136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510136","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:DiVA.org:ltu-111173","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-111173","pdf_url":null,"source":{"id":"https://openalex.org/S7407055297","display_name":"Epubl LTU","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:1b6c8d72c9344b9dbeafb014dfcfa0f4","is_oa":true,"landing_page_url":"https://doaj.org/article/1b6c8d72c9344b9dbeafb014dfcfa0f4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 187640-187651 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3510136","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3510136","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1984798566","https://openalex.org/W2133665775","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2555860637","https://openalex.org/W2810983211","https://openalex.org/W2811440754","https://openalex.org/W2866634454","https://openalex.org/W2943960148","https://openalex.org/W2946281912","https://openalex.org/W2954930822","https://openalex.org/W2963470893","https://openalex.org/W2987150909","https://openalex.org/W2988326850","https://openalex.org/W3082397598","https://openalex.org/W3083321694","https://openalex.org/W3096739052","https://openalex.org/W3107840264","https://openalex.org/W3155072588","https://openalex.org/W3174012740","https://openalex.org/W3174746398","https://openalex.org/W3177505580","https://openalex.org/W3206615376","https://openalex.org/W4226544595","https://openalex.org/W4285606401","https://openalex.org/W4288391612","https://openalex.org/W4312497550","https://openalex.org/W4312923907","https://openalex.org/W4360884927","https://openalex.org/W4381090279","https://openalex.org/W4382240051","https://openalex.org/W4387967900","https://openalex.org/W4392903474","https://openalex.org/W4394625581","https://openalex.org/W6618350375","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6788990321","https://openalex.org/W6795288823","https://openalex.org/W6881598160"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2765548132","https://openalex.org/W2025681766","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W2294441925","https://openalex.org/W2142226356","https://openalex.org/W2056165575","https://openalex.org/W3210000161"],"abstract_inverted_index":{"Scene":[0],"text":[1,11,64,74,105,212,239],"image":[2],"super-resolution":[3,232],"(STISR)":[4],"aims":[5],"to":[6,69,85,111,205,230],"enhance":[7],"the":[8,38,43,47,70,83,88,112,134,149,152,161,168,176,186,197,206,222,236],"resolution":[9],"of":[10,40,46,91,151,171,191,224,238],"images":[12,228],"while":[13],"simultaneously":[14],"improving":[15,221],"their":[16],"readability":[17],"by":[18,138,210],"reducing":[19],"noise,":[20],"blur,":[21],"and":[22,115,194,200,234],"other":[23],"degradations.":[24],"Existing":[25],"diffusion-based":[26,127],"approaches":[27],"for":[28,60,155],"STISR":[29,177],"primarily":[30],"rely":[31],"on":[32,185,196],"text-prior":[33],"information":[34,174],"but":[35],"often":[36],"overlook":[37],"importance":[39],"explicitly":[41],"modeling":[42],"visual":[44,80],"structure":[45],"text.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,124,217],"propose":[53],"a":[54,78,107,126,139],"novel":[55],"Skeleton-Aware":[56],"Diffusion":[57],"Method":[58],"(SADM)":[59],"STISR,":[61],"which":[62,132],"introduces":[63],"skeletons":[65,101,136,225],"as":[66,77],"structural":[67,158],"guidance":[68,159],"diffusion":[71,162],"process.":[72,163],"The":[73,145,179],"skeleton":[75,173],"serves":[76],"critical":[79],"cue,":[81],"helping":[82],"model":[84],"better":[86,231],"restore":[87],"fine":[89],"details":[90],"text,":[92],"even":[93],"in":[94,118],"severely":[95],"degraded":[96],"low-resolution":[97,103,227],"images.":[98,120],"Generating":[99],"high-quality":[100],"from":[102,226],"scene":[104],"is":[106],"challenging":[108],"task":[109],"due":[110],"inherent":[113],"blurring":[114],"noise":[116],"present":[117],"such":[119],"To":[121],"tackle":[122],"this,":[123],"introduce":[125],"Skeleton":[128],"Correction":[129],"Network":[130],"(SCN),":[131],"refines":[133],"initial":[135],"produced":[137],"convolutional":[140],"neural":[141],"network-based":[142],"skeletonization":[143],"model.":[144],"SCN":[146],"effectively":[147],"improves":[148],"accuracy":[150],"skeletons,":[153],"allowing":[154],"more":[156],"precise":[157],"during":[160],"Our":[164],"extensive":[165],"experiments":[166],"demonstrate":[167],"significant":[169],"benefits":[170],"incorporating":[172],"into":[175],"pipeline.":[178],"proposed":[180],"SADM":[181],"achieves":[182],"state-of-the-art":[183],"performance":[184,237],"TextZoom":[187],"dataset,":[188],"with":[189],"accuracies":[190],"81.4%,":[192],"64.9%,":[193],"49.6%":[195],"easy,":[198],"medium,":[199],"hard":[201],"subsets,":[202],"respectively,":[203],"compared":[204],"previous":[207],"best":[208],"results":[209],"ASTER":[211],"recognizer.":[213],"Through":[214],"detailed":[215],"analysis,":[216],"also":[218],"show":[219],"that":[220],"quality":[223],"leads":[229],"outcomes":[233],"enhances":[235],"recognizers.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
