{"id":"https://openalex.org/W4321193456","doi":"https://doi.org/10.1109/icce56470.2023.10043489","title":"Single Image Fence Removal Using Fast Fourier Transform","display_name":"Single Image Fence Removal Using Fast Fourier Transform","publication_year":2023,"publication_date":"2023-01-06","ids":{"openalex":"https://openalex.org/W4321193456","doi":"https://doi.org/10.1109/icce56470.2023.10043489"},"language":"en","primary_location":{"id":"doi:10.1109/icce56470.2023.10043489","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce56470.2023.10043489","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","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/A5043791368","display_name":"Keitaro Kume","orcid":"https://orcid.org/0000-0003-4937-345X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keitaro Kume","raw_affiliation_strings":["Keio Univ.,EEE Dept.,Yokohama,Kanagawa,Japan,223-8522"],"affiliations":[{"raw_affiliation_string":"Keio Univ.,EEE Dept.,Yokohama,Kanagawa,Japan,223-8522","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["Keio Univ.,EEE Dept.,Yokohama,Kanagawa,Japan,223-8522"],"affiliations":[{"raw_affiliation_string":"Keio Univ.,EEE Dept.,Yokohama,Kanagawa,Japan,223-8522","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043791368"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21909633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/fence","display_name":"Fence (mathematics)","score":0.9351814985275269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6915284395217896},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.6867815256118774},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6006916761398315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863646268844604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5642309784889221},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5287662744522095},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5056374073028564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4045274257659912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18971571326255798},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08523577451705933}],"concepts":[{"id":"https://openalex.org/C2779652578","wikidata":"https://www.wikidata.org/wiki/Q5442977","display_name":"Fence (mathematics)","level":2,"score":0.9351814985275269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6915284395217896},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.6867815256118774},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6006916761398315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863646268844604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5642309784889221},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5287662744522095},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5056374073028564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4045274257659912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18971571326255798},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08523577451705933},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce56470.2023.10043489","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce56470.2023.10043489","pdf_url":null,"source":{"id":"https://openalex.org/S4363607959","display_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1978900400","https://openalex.org/W2194775991","https://openalex.org/W2288997049","https://openalex.org/W2810552350","https://openalex.org/W2964197347","https://openalex.org/W2996756905","https://openalex.org/W3035736826","https://openalex.org/W3199003182","https://openalex.org/W6811043537"],"related_works":["https://openalex.org/W3178025616","https://openalex.org/W2131831293","https://openalex.org/W2017457812","https://openalex.org/W2946160871","https://openalex.org/W1995073329","https://openalex.org/W3035059915","https://openalex.org/W2060947339","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"Fences":[0],"extensively":[1,106],"cover":[2,107],"the":[3,14,40,108],"image":[4,15,26,109],"in":[5,23,29,39,68,110,125],"a":[6,17,24,84,88,92,116],"variety":[7],"of":[8,74,103,118,153],"shapes,":[9],"making":[10],"fence":[11,21,32,44,56],"removal":[12,22],"from":[13],"is":[16,27,122],"challenging":[18],"task.":[19],"Most":[20],"single":[25],"performed":[28],"two":[30],"stages:":[31],"area":[33],"estimation":[34],"and":[35,55,71,132,144,150],"inpainting":[36],"as":[37,50],"shown":[38],"Fig":[41],"1.":[42],"Conventional":[43],"detection":[45],"has":[46],"utilized":[47],"information":[48],"such":[49],"edge":[51],"information,":[52,54],"luminance":[53],"regularity":[57],"to":[58,77,99],"deal":[59],"with":[60],"various":[61,111],"shapes.":[62,112],"However,":[63],"those":[64],"methods":[65],"have":[66],"resulted":[67],"missing":[69,148],"fences":[70,104,149],"false":[72,151],"detections":[73],"structures":[75],"similar":[76],"fences.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82,114],"propose":[83],"network":[85],"that":[86,90,105,136],"incorporates":[87],"module":[89],"includes":[91],"fast":[93],"Fourier":[94],"transform.":[95],"This":[96],"allows":[97],"us":[98],"extract":[100],"global":[101],"features":[102],"Furthermore,":[113],"create":[115],"dataset":[117],"rectangular":[119],"fences,":[120],"which":[121],"not":[123],"available":[124],"previous":[126],"datasets.":[127],"Experimental":[128],"results":[129],"on":[130],"existing":[131],"proposed":[133],"datasets":[134],"show":[135],"our":[137],"method":[138],"achieves":[139],"better":[140],"results,":[141],"both":[142],"quantitatively":[143],"qualitatively,":[145],"by":[146],"suppressing":[147],"positives":[152],"other":[154],"structures.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}