{"id":"https://openalex.org/W4220870592","doi":"https://doi.org/10.3390/s22062271","title":"Variational Model for Single-Image Reflection Suppression Based on Multiscale Thresholding","display_name":"Variational Model for Single-Image Reflection Suppression Based on Multiscale Thresholding","publication_year":2022,"publication_date":"2022-03-15","ids":{"openalex":"https://openalex.org/W4220870592","doi":"https://doi.org/10.3390/s22062271","pmid":"https://pubmed.ncbi.nlm.nih.gov/35336444"},"language":"en","primary_location":{"id":"doi:10.3390/s22062271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062271","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s22062271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080086269","display_name":"Pei-Chiang Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I185940356","display_name":"Soochow University","ror":"https://ror.org/05kvm7n82","country_code":"TW","type":"education","lineage":["https://openalex.org/I185940356"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pei-Chiang Shao","raw_affiliation_strings":["Department of Mathematics, Soochow University, Taipei City 111002, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Soochow University, Taipei City 111002, Taiwan","institution_ids":["https://openalex.org/I185940356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080086269"],"corresponding_institution_ids":["https://openalex.org/I185940356"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01667518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"6","first_page":"2271","last_page":"2271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994000196456909,"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/thresholding","display_name":"Thresholding","score":0.7444176077842712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6663710474967957},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6532615423202515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6143401861190796},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.553699254989624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.521865725517273},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4959786832332611},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4530300199985504},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45164015889167786},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4251338839530945},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.420869916677475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40156978368759155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20588231086730957}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7444176077842712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6663710474967957},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6532615423202515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6143401861190796},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.553699254989624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.521865725517273},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4959786832332611},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4530300199985504},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45164015889167786},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4251338839530945},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.420869916677475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40156978368759155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20588231086730957},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22062271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062271","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:35336444","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35336444","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:57499284c9f5436daf96ca3a4003b524","is_oa":true,"landing_page_url":"https://doaj.org/article/57499284c9f5436daf96ca3a4003b524","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":"Sensors, Vol 22, Iss 6, p 2271 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/6/2271/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22062271","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":"Sensors; Volume 22; Issue 6; Pages: 2271","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8949426","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8949426","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22062271","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062271","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1543446142","https://openalex.org/W1978900400","https://openalex.org/W1980212291","https://openalex.org/W1983897339","https://openalex.org/W1988700013","https://openalex.org/W2040053806","https://openalex.org/W2064194050","https://openalex.org/W2099847307","https://openalex.org/W2107530646","https://openalex.org/W2109714704","https://openalex.org/W2123132941","https://openalex.org/W2166313476","https://openalex.org/W2296675492","https://openalex.org/W2321199736","https://openalex.org/W2518628096","https://openalex.org/W2608451532","https://openalex.org/W2798966709","https://openalex.org/W2894734721","https://openalex.org/W2914947442","https://openalex.org/W2963177105","https://openalex.org/W2963676366","https://openalex.org/W2979722847","https://openalex.org/W2999449060","https://openalex.org/W3129376454","https://openalex.org/W6640167176"],"related_works":["https://openalex.org/W4319592070","https://openalex.org/W4319592072","https://openalex.org/W4387314894","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W2327601824"],"abstract_inverted_index":{"Reflections":[0],"often":[1],"cause":[2],"degradation":[3],"in":[4,129],"image":[5,44,102],"quality":[6],"for":[7,31,64,112],"pictures":[8],"taken":[9],"through":[10],"glass":[11,125],"medium.":[12],"Removing":[13],"the":[14,81,108,114,130,135,138,149,155],"undesired":[15],"reflections":[16],"is":[17,50,58,118],"becoming":[18],"increasingly":[19],"important.":[20],"For":[21,34],"human":[22],"vision,":[23,36],"it":[24,37],"can":[25,38],"produce":[26],"much":[27],"more":[28],"pleasing":[29],"results":[30,147],"multimedia":[32],"applications.":[33],"machine":[35],"benefit":[39],"various":[40,74],"applications":[41],"such":[42],"as":[43],"segmentation":[45],"and":[46,77,99,123],"classification.":[47],"Reflection":[48],"removal":[49],"itself":[51],"a":[52,65,88],"highly":[53],"illposed":[54],"inverse":[55],"problem":[56],"that":[57],"very":[59],"difficult":[60],"to":[61,79,96,133],"solve,":[62],"especially":[63],"single":[66],"input":[67],"image.":[68],"Existing":[69],"methods":[70],"mainly":[71],"rely":[72],"on":[73,92],"prior":[75],"information":[76],"assumptions":[78],"alleviate":[80],"ill-posedness.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86],"design":[87],"variational":[89,116],"model":[90,117],"based":[91],"multiscale":[93],"hard":[94],"thresholding":[95],"both":[97],"effectively":[98],"efficiently":[100],"suppress":[101],"reflections.":[103],"A":[104],"direct":[105],"solver":[106],"using":[107],"discrete":[109],"cosine":[110],"transform":[111],"implementing":[113],"proposed":[115,139],"also":[119],"provided.":[120],"Both":[121],"synthetic":[122],"real":[124],"images":[126],"are":[127],"used":[128],"numerical":[131],"experiments":[132],"compare":[134],"performance":[136],"of":[137,151],"algorithm":[140,153],"with":[141],"other":[142],"representative":[143],"algorithms.":[144],"The":[145],"experimental":[146],"show":[148],"superiority":[150],"our":[152],"over":[154],"previous":[156],"ones.":[157]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
