{"id":"https://openalex.org/W2523796294","doi":"https://doi.org/10.3390/sym8100102","title":"A POCS Algorithm Based on Text Features for the Reconstruction of Document Images at Super-Resolution","display_name":"A POCS Algorithm Based on Text Features for the Reconstruction of Document Images at Super-Resolution","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2523796294","doi":"https://doi.org/10.3390/sym8100102","mag":"2523796294"},"language":"en","primary_location":{"id":"doi:10.3390/sym8100102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8100102","pdf_url":"https://www.mdpi.com/2073-8994/8/10/102/pdf?version=1475140359","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/8/10/102/pdf?version=1475140359","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001546343","display_name":"Fengmei Liang","orcid":"https://orcid.org/0000-0002-5050-8270"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengmei Liang","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052153541","display_name":"Yajun Xu","orcid":"https://orcid.org/0000-0002-2097-6161"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Xu","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101805993","display_name":"Mengxia Zhang","orcid":"https://orcid.org/0000-0002-7583-9105"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxia Zhang","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361511","display_name":"Liyuan Zhang","orcid":"https://orcid.org/0000-0002-5382-3030"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Zhang","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China","institution_ids":["https://openalex.org/I9086337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052153541"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.1657,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57036197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"10","first_page":"102","last_page":"102"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7490881085395813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6606050729751587},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6282505989074707},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5661154985427856},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5574209094047546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5556118488311768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5182047486305237},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49252304434776306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49124258756637573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45758169889450073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4566026031970978},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42727208137512207},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.41063302755355835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40659111738204956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1931810975074768},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07642489671707153}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7490881085395813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6606050729751587},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6282505989074707},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5661154985427856},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5574209094047546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5556118488311768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5182047486305237},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49252304434776306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49124258756637573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45758169889450073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4566026031970978},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42727208137512207},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.41063302755355835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40659111738204956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1931810975074768},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07642489671707153},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym8100102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8100102","pdf_url":"https://www.mdpi.com/2073-8994/8/10/102/pdf?version=1475140359","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d792dd0a2ef48dda25c0444e370c3e1","is_oa":true,"landing_page_url":"https://doaj.org/article/3d792dd0a2ef48dda25c0444e370c3e1","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":"Symmetry, Vol 8, Iss 10, p 102 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/8/10/102/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym8100102","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Symmetry; Volume 8; Issue 10; Pages: 102","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym8100102","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8100102","pdf_url":"https://www.mdpi.com/2073-8994/8/10/102/pdf?version=1475140359","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2523796294.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W793523341","https://openalex.org/W1184756030","https://openalex.org/W2004351654","https://openalex.org/W2023902556","https://openalex.org/W2058523468","https://openalex.org/W2099068619","https://openalex.org/W2143057788","https://openalex.org/W2143543512","https://openalex.org/W2151103935","https://openalex.org/W2266675797","https://openalex.org/W2413035191","https://openalex.org/W2791316891","https://openalex.org/W2987004640","https://openalex.org/W3043538212","https://openalex.org/W6622561190","https://openalex.org/W6681083672","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W245862691"],"abstract_inverted_index":{"In":[0,75],"order":[1],"to":[2,62,71,153],"address":[3],"the":[4,7,15,20,46,51,68,78,89,96,101,110,115,122,125,130,136,140,149,155,158],"problem":[5],"of":[6,9,14,19,24,91,124,129,139,157],"uncertainty":[8],"existing":[10],"noise":[11,52,116,119],"models":[12],"and":[13,17,22,49,66,94,117,135,145],"complexity":[16],"changeability":[18],"edges":[21],"textures":[23],"low-resolution":[25],"document":[26,159],"images,":[27],"this":[28,76,146],"paper":[29],"presents":[30],"a":[31],"projection":[32],"onto":[33],"convex":[34],"sets":[35],"(POCS)":[36],"algorithm":[37,85,111],"based":[38],"on":[39],"text":[40,54,58,132,142,150],"features.":[41],"The":[42,127],"current":[43],"method":[44],"preserves":[45],"edge":[47,151],"details":[48],"smooths":[50],"in":[53],"images":[55],"by":[56,121],"adding":[57],"features":[59],"as":[60],"constraints":[61],"original":[63],"POCS":[64,103],"algorithms":[65],"converting":[67],"fixed":[69],"threshold":[70],"an":[72],"adaptive":[73],"one.":[74],"paper,":[77],"optimized":[79],"scale":[80],"invariant":[81],"feature":[82],"transform":[83],"(SIFT)":[84],"was":[86,98],"used":[87],"for":[88],"registration":[90],"continuous":[92],"frames,":[93],"finally":[95],"image":[97,160],"reconstructed":[99,131,141],"under":[100],"improved":[102],"theoretical":[104],"framework.":[105],"Experimental":[106],"results":[107],"showed":[108],"that":[109],"can":[112],"significantly":[113],"smooth":[114],"eliminate":[118],"caused":[120],"shadows":[123],"lines.":[126],"lines":[128],"are":[133,143],"smoother":[134],"stroke":[137],"contours":[138],"clearer,":[144],"largely":[147],"eliminates":[148],"vibration":[152],"enhance":[154],"resolution":[156],"text.":[161]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}