{"id":"https://openalex.org/W3083016419","doi":"https://doi.org/10.1109/mwscas48704.2020.9184486","title":"Single Image Reflection Removal for Privacy Protection using Deep CNN","display_name":"Single Image Reflection Removal for Privacy Protection using Deep CNN","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3083016419","doi":"https://doi.org/10.1109/mwscas48704.2020.9184486","mag":"3083016419"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas48704.2020.9184486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas48704.2020.9184486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026581043","display_name":"Tomohiro Takahashi","orcid":"https://orcid.org/0000-0003-1325-0693"},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Takahashi","raw_affiliation_strings":["Dept. of Human and Information Science, Tokai University, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Human and Information Science, Tokai University, Kanagawa, Japan","institution_ids":["https://openalex.org/I1314466530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042062082","display_name":"Kazunori Uruma","orcid":"https://orcid.org/0000-0002-3915-6796"},"institutions":[{"id":"https://openalex.org/I116465919","display_name":"Kogakuin University","ror":"https://ror.org/01wc2tq75","country_code":"JP","type":"education","lineage":["https://openalex.org/I116465919"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Uruma","raw_affiliation_strings":["Dept. of Computer Science, Kogakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Kogakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I116465919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100998659","display_name":"Keita Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I116465919","display_name":"Kogakuin University","ror":"https://ror.org/01wc2tq75","country_code":"JP","type":"education","lineage":["https://openalex.org/I116465919"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keita Kobayashi","raw_affiliation_strings":["Dept. of Computer Science, Kogakuin University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Kogakuin University, Tokyo, Japan","institution_ids":["https://openalex.org/I116465919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3295841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1028","last_page":"1031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9912999868392944,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9912999868392944,"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":0.9890999794006348,"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":0.9843999743461609,"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/reflection","display_name":"Reflection (computer programming)","score":0.8543989658355713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099969983100891},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6617023944854736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5886291265487671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5561149716377258},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.47583436965942383},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.105335533618927}],"concepts":[{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.8543989658355713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099969983100891},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6617023944854736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5886291265487671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5561149716377258},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.47583436965942383},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.105335533618927},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas48704.2020.9184486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas48704.2020.9184486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1978900400","https://openalex.org/W2133665775","https://openalex.org/W2508457857","https://openalex.org/W2608451532","https://openalex.org/W2798966709","https://openalex.org/W2899347736","https://openalex.org/W2939986012","https://openalex.org/W2964947082"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"It":[0],"is":[1,36,55,74],"a":[2,100,103],"problem":[3],"that":[4,66,105],"the":[5,8,11,29,47,53,59,62,67,110],"interior":[6],"of":[7,28,71],"room":[9],"and":[10,17,78,89],"photographer":[12],"are":[13],"reflected":[14],"by":[15,98],"windows":[16],"glass":[18],"at":[19],"taking":[20],"photographs.":[21],"In":[22],"order":[23],"to":[24,38,41,57,75],"take":[25,39],"good":[26],"images":[27],"outdoors":[30],"from":[31,61],"indoors":[32],"through":[33],"glass,":[34],"it":[35],"necessary":[37],"measures":[40],"prevent":[42],"these":[43],"reflections.":[44],"However,":[45],"if":[46],"already":[48],"captured":[49],"image":[50,86],"contains":[51,107],"reflections,":[52],"method":[54],"needed":[56],"remove":[58],"reflections":[60],"image.":[63],"We":[64,93],"believe":[65],"most":[68],"important":[69],"mission":[70],"Reflection":[72],"Removal":[73],"protect":[76],"privacy,":[77],"we":[79],"will":[80],"train":[81],"CNN":[82],"specializing":[83],"in":[84,109],"human":[85,95],"reflection":[87,111],"removal":[88,96],"verify":[90],"their":[91],"performance.":[92],"improve":[94],"performance":[97],"learning":[99],"network":[101],"using":[102],"database":[104],"always":[106],"humans":[108],"layer.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
