{"id":"https://openalex.org/W1921478398","doi":"https://doi.org/10.1109/ecctd.2015.7300086","title":"New image denoising method using multiple-minimum cuts based on maximum-flow neural network","display_name":"New image denoising method using multiple-minimum cuts based on maximum-flow neural network","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1921478398","doi":"https://doi.org/10.1109/ecctd.2015.7300086","mag":"1921478398"},"language":"en","primary_location":{"id":"doi:10.1109/ecctd.2015.7300086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2015.7300086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 European Conference on Circuit Theory and Design (ECCTD)","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/A5075726145","display_name":"Masatoshi Sato","orcid":"https://orcid.org/0000-0001-7111-3406"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Sato","raw_affiliation_strings":["Faculty of System Design, Tokyo Metropolitan University, Hino, Japan","Faculty of System Design, Tokyo Metropolitan University 6-6, Asahigaoka, Hino, Tokyo 191-0065, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of System Design, Tokyo Metropolitan University, Hino, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Faculty of System Design, Tokyo Metropolitan University 6-6, Asahigaoka, Hino, Tokyo 191-0065, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036440155","display_name":"Tsuyoshi Otake","orcid":"https://orcid.org/0000-0002-0721-5034"},"institutions":[{"id":"https://openalex.org/I149481174","display_name":"Tamagawa University","ror":"https://ror.org/05f8a4p63","country_code":"JP","type":"education","lineage":["https://openalex.org/I149481174"]},{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Otake","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Chukyo University, Showa, Nagoya, Aichi, Japan","College of Engineering, Department of Software Science, Tamagawa University, 6-1-1, Tamagawa-Gakuen, Machida, Tokyo 194-8610, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chukyo University, Showa, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I98940699"]},{"raw_affiliation_string":"College of Engineering, Department of Software Science, Tamagawa University, 6-1-1, Tamagawa-Gakuen, Machida, Tokyo 194-8610, Japan","institution_ids":["https://openalex.org/I149481174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044215256","display_name":"Hisashi Aomori","orcid":"https://orcid.org/0000-0002-4934-2824"},"institutions":[{"id":"https://openalex.org/I149481174","display_name":"Tamagawa University","ror":"https://ror.org/05f8a4p63","country_code":"JP","type":"education","lineage":["https://openalex.org/I149481174"]},{"id":"https://openalex.org/I98940699","display_name":"Chukyo University","ror":"https://ror.org/04ajrmg05","country_code":"JP","type":"education","lineage":["https://openalex.org/I98940699"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisashi Aomori","raw_affiliation_strings":["College of Engineering, Tamagawa University, Machida, Tokyo, Japan","Department of Electrical and Electronic Engineering, Chukyo University, 101-2 Yagoto-honmachi, Showa, Nagoya, Aichi, 466-8666, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Tamagawa University, Machida, Tokyo, Japan","institution_ids":["https://openalex.org/I149481174"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chukyo University, 101-2 Yagoto-honmachi, Showa, Nagoya, Aichi, 466-8666, Japan","institution_ids":["https://openalex.org/I98940699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101739164","display_name":"Mamoru Tanaka","orcid":"https://orcid.org/0000-0002-9023-7794"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mamoru Tanaka","raw_affiliation_strings":["Department of Information and Communication Sciences, Sophia University, Chiyoda, Tokyo, Japan","Department of Information and Communication Sciences, Sophia University, 7-1 Kioi-cho, Chiyoda, Tokyo, 102-8554, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Sciences, Sophia University, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]},{"raw_affiliation_string":"Department of Information and Communication Sciences, Sophia University, 7-1 Kioi-cho, Chiyoda, Tokyo, 102-8554, Japan","institution_ids":["https://openalex.org/I42999171"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57088009,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9925000071525574,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9916999936103821,"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/minimum-cut","display_name":"Minimum cut","score":0.8102455735206604},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.6123053431510925},{"id":"https://openalex.org/keywords/maximum-flow-problem","display_name":"Maximum flow problem","score":0.5305856466293335},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5205446481704712},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5017318725585938},{"id":"https://openalex.org/keywords/maximum-cut","display_name":"Maximum cut","score":0.4761524200439453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4653276801109314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45051804184913635},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44222292304039},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4388979375362396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42755940556526184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35228925943374634},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.34626340866088867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3430177867412567},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34066125750541687},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16889789700508118},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10318493843078613}],"concepts":[{"id":"https://openalex.org/C185690422","wikidata":"https://www.wikidata.org/wiki/Q6865438","display_name":"Minimum cut","level":2,"score":0.8102455735206604},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.6123053431510925},{"id":"https://openalex.org/C157469704","wikidata":"https://www.wikidata.org/wiki/Q2585642","display_name":"Maximum flow problem","level":2,"score":0.5305856466293335},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5205446481704712},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5017318725585938},{"id":"https://openalex.org/C165526019","wikidata":"https://www.wikidata.org/wiki/Q942557","display_name":"Maximum cut","level":3,"score":0.4761524200439453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4653276801109314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45051804184913635},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44222292304039},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4388979375362396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42755940556526184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35228925943374634},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.34626340866088867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3430177867412567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34066125750541687},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16889789700508118},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10318493843078613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecctd.2015.7300086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecctd.2015.7300086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 European Conference on Circuit Theory and Design (ECCTD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W60423602","https://openalex.org/W1980949174","https://openalex.org/W1998995988","https://openalex.org/W2090359754","https://openalex.org/W2113137767","https://openalex.org/W2124351162","https://openalex.org/W2143516773","https://openalex.org/W2162651880","https://openalex.org/W6602490835"],"related_works":["https://openalex.org/W2186707160","https://openalex.org/W2141353198","https://openalex.org/W1974018476","https://openalex.org/W3141688457","https://openalex.org/W2078695342","https://openalex.org/W2942946217","https://openalex.org/W2095284441","https://openalex.org/W2377700283","https://openalex.org/W76454513","https://openalex.org/W2186701437"],"abstract_inverted_index":{"In":[0,27,113],"recent":[1],"years,":[2],"graph-cuts":[3,65,76],"has":[4,78,149],"became":[5],"increasingly":[6],"useful":[7],"methods":[8],"for":[9,177,190],"image":[10,16,19,31,48,120],"processing":[11,82,102],"problems":[12],"such":[13],"as":[14],"the":[15,18,21,47,57,60,64,70,91,97,100,104,128,142,156,171,182,185,194],"denoising,":[17],"segmentation,":[20],"stereo":[22],"matching":[23],"and":[24,46,84,103,170],"so":[25],"on.":[26],"graph-cuts,":[28],"a":[29,35,53,110,118],"given":[30],"is":[32,49,67,108,134,162,173],"replaced":[33],"by":[34,51,155],"grid":[36],"graph":[37],"with":[38],"defined":[39],"edge":[40],"weights":[41],"according":[42],"to":[43,174],"each":[44],"problem,":[45],"processed":[50],"using":[52,123,181],"minimum":[54,72,93,137,158],"cut":[55,73,94,138,159],"of":[56,63,81,86,90,106,193],"graph.":[58],"Therefore,":[59],"most":[61],"part":[62],"algorithm":[66,139],"based":[68,126,140],"on":[69,127,141],"typical":[71],"algorithm.":[74,95,160],"However,":[75],"still":[77],"two":[79,150,191],"issues":[80,192],"time":[83],"accuracy":[85,107],"output":[87],"images":[88],"because":[89],"conventional":[92,157,195],"Moreover,":[96],"relation":[98],"between":[99],"high-speed":[101],"improvement":[105],"basically":[109],"trade-off":[111],"relation.":[112],"this":[114],"research,":[115],"we":[116,186],"propose":[117],"new":[119],"denoising":[121],"method":[122],"multiple-minimum":[124,164],"cuts":[125,165],"maximum-flow":[129],"neural":[130],"network":[131],"(MF-NN)":[132],"which":[133],"our":[135],"proposed":[136],"nonlinear":[143],"resistive":[144],"circuit":[145],"analysis.":[146],"The":[147],"MF-NN":[148],"unique":[151],"features":[152],"not":[153],"shared":[154],"One":[161],"that":[163],"can":[166],"be":[167,175],"obtained":[168],"simultaneously,":[169],"other":[172],"suitable":[176],"hardware":[178],"implementation.":[179],"By":[180],"MF-NN's":[183],"features,":[184],"find":[187],"novel":[188],"solutions":[189],"graph-cuts.":[196]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
