{"id":"https://openalex.org/W2900689274","doi":"https://doi.org/10.1109/rivf.2019.8713657","title":"Deep Laplacian Pyramid Network for Text Images Super-Resolution","display_name":"Deep Laplacian Pyramid Network for Text Images Super-Resolution","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2900689274","doi":"https://doi.org/10.1109/rivf.2019.8713657","mag":"2900689274"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2019.8713657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2019.8713657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.10449","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042785813","display_name":"Hanh T. M. Tran","orcid":"https://orcid.org/0000-0003-4888-0513"},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN","YE"],"is_corresponding":false,"raw_author_name":"Hanh T.M. Tran","raw_affiliation_strings":["The University of Danang - University of Science and Technology","The University of Danang - University of Science & Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Danang - University of Science and Technology","institution_ids":["https://openalex.org/I3129492623","https://openalex.org/I118692353"]},{"raw_affiliation_string":"The University of Danang - University of Science & Technology","institution_ids":["https://openalex.org/I3129492623","https://openalex.org/I118692353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111840571","display_name":"Tien Ho-Phuoc","orcid":null},"institutions":[{"id":"https://openalex.org/I118692353","display_name":"University of Science and Technology","ror":"https://ror.org/05bj7sh33","country_code":"YE","type":"education","lineage":["https://openalex.org/I118692353"]},{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN","YE"],"is_corresponding":false,"raw_author_name":"Tien Ho-Phuoc","raw_affiliation_strings":["The University of Danang - University of Science and Technology","The University of Danang - University of Science & Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Danang - University of Science and Technology","institution_ids":["https://openalex.org/I3129492623","https://openalex.org/I118692353"]},{"raw_affiliation_string":"The University of Danang - University of Science & Technology","institution_ids":["https://openalex.org/I3129492623","https://openalex.org/I118692353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4031,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63429295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":1.0,"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":1.0,"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":0.9973999857902527,"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":0.9937000274658203,"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/superresolution","display_name":"Superresolution","score":0.782612681388855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.722261905670166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799576282501221},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.669278085231781},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.6503267288208008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6481375694274902},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.607057511806488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5263808369636536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5016641616821289},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.4861592948436737},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4527197480201721},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1790594458580017},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12032416462898254},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08269119262695312},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.04700997471809387}],"concepts":[{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.782612681388855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722261905670166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799576282501221},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.669278085231781},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.6503267288208008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6481375694274902},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.607057511806488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5263808369636536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5016641616821289},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.4861592948436737},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4527197480201721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1790594458580017},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12032416462898254},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08269119262695312},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.04700997471809387}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/rivf.2019.8713657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2019.8713657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1811.10449","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.10449","pdf_url":"https://arxiv.org/pdf/1811.10449","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2900689274","is_oa":true,"landing_page_url":"https://www.arxiv.org/pdf/1811.10449v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1811.10449","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.10449","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.10449","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.10449","pdf_url":"https://arxiv.org/pdf/1811.10449","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2900689274.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W603536130","https://openalex.org/W1677182931","https://openalex.org/W1919542679","https://openalex.org/W1963882359","https://openalex.org/W2022226704","https://openalex.org/W2065444770","https://openalex.org/W2099496146","https://openalex.org/W2133665775","https://openalex.org/W2142884912","https://openalex.org/W2157613008","https://openalex.org/W2158657094","https://openalex.org/W2161516371","https://openalex.org/W2164792877","https://openalex.org/W2165939075","https://openalex.org/W2319561215","https://openalex.org/W2780624730","https://openalex.org/W2950872229","https://openalex.org/W2963583792","https://openalex.org/W6618350375","https://openalex.org/W6624640001","https://openalex.org/W6656205111","https://openalex.org/W6683660953","https://openalex.org/W6684191040","https://openalex.org/W6691096134","https://openalex.org/W6736904528"],"related_works":["https://openalex.org/W2962953661","https://openalex.org/W2979590743","https://openalex.org/W322174079","https://openalex.org/W2963182372","https://openalex.org/W2987257121","https://openalex.org/W2496000821","https://openalex.org/W2934020926","https://openalex.org/W2735612362","https://openalex.org/W3015924773","https://openalex.org/W3126308078","https://openalex.org/W3082543869","https://openalex.org/W2920847290","https://openalex.org/W2983213412","https://openalex.org/W2769578605","https://openalex.org/W2794926414","https://openalex.org/W2918965419","https://openalex.org/W2536219178","https://openalex.org/W2543616106","https://openalex.org/W2098506229","https://openalex.org/W3011740795"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2,14],"have":[3],"recently":[4],"demonstrated":[5],"interesting":[6],"results":[7],"for":[8,36,53],"single":[9,41,54],"image":[10,43,56],"super-resolution.":[11,44,57],"However,":[12],"these":[13],"were":[15],"trained":[16],"to":[17,40,61,70],"deal":[18],"with":[19,67],"super-resolution":[20,74,90],"problem":[21],"on":[22,80],"natural":[23,37],"images.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,49,59],"adapt":[29],"a":[30],"deep":[31],"network,":[32,48],"which":[33],"was":[34],"proposed":[35],"images":[38],"super-resolution,":[39],"text":[42,55],"To":[45],"evaluate":[46],"the":[47,86,89],"present":[50],"our":[51,81],"database":[52],"Moreover,":[58],"propose":[60],"combine":[62],"Gradient":[63],"Difference":[64],"Loss":[65],"(GDL)":[66],"L1/L2":[68],"loss":[69],"enhance":[71],"edges":[72],"in":[73],"image.":[75],"Quantitative":[76],"and":[77],"qualitative":[78],"evaluations":[79],"dataset":[82],"show":[83],"that":[84],"adding":[85],"GDL":[87],"improves":[88],"results.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}