{"id":"https://openalex.org/W4311225476","doi":"https://doi.org/10.1109/igsc55832.2022.9969358","title":"A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction","display_name":"A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4311225476","doi":"https://doi.org/10.1109/igsc55832.2022.9969358"},"language":"en","primary_location":{"id":"doi:10.1109/igsc55832.2022.9969358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igsc55832.2022.9969358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)","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/A5055927663","display_name":"Seyedeh Newsha Estiri","orcid":"https://orcid.org/0000-0001-5811-3655"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedeh Newsha Estiri","raw_affiliation_strings":["University of Louisiana at Lafayette"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073566638","display_name":"Amir Hossein Jalilvand","orcid":"https://orcid.org/0000-0002-7641-6606"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Hossein Jalilvand","raw_affiliation_strings":["University of Louisiana at Lafayette"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029682378","display_name":"Samaneh Naderi","orcid":null},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samaneh Naderi","raw_affiliation_strings":["Iran University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iran University of Science and Technology","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012903661","display_name":"M. Hassan Najafi","orcid":"https://orcid.org/0000-0002-4655-6229"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Hassan Najafi","raw_affiliation_strings":["University of Louisiana at Lafayette"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Louisiana at Lafayette","institution_ids":["https://openalex.org/I79516672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000252930","display_name":"Mahdi Fazeli","orcid":"https://orcid.org/0000-0002-2874-6256"},"institutions":[{"id":"https://openalex.org/I746986","display_name":"Halmstad University","ror":"https://ror.org/03h0qfp10","country_code":"SE","type":"education","lineage":["https://openalex.org/I746986"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mahdi Fazeli","raw_affiliation_strings":["Halmstad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Halmstad University","institution_ids":["https://openalex.org/I746986"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2816,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88661601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/median-filter","display_name":"Median filter","score":0.6932610273361206},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6343309879302979},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6304740905761719},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6000336408615112},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5991935729980469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5686864852905273},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.5378739833831787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5287081003189087},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5262911915779114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122317671775818},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.49990153312683105},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49758580327033997},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4662052392959595},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.44134849309921265},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3812224864959717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364017605781555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3290753960609436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2601313292980194}],"concepts":[{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.6932610273361206},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6343309879302979},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6304740905761719},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6000336408615112},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5991935729980469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5686864852905273},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.5378739833831787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5287081003189087},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5262911915779114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122317671775818},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.49990153312683105},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49758580327033997},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4662052392959595},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.44134849309921265},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3812224864959717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364017605781555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3290753960609436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2601313292980194},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igsc55832.2022.9969358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igsc55832.2022.9969358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W190569739","https://openalex.org/W590777244","https://openalex.org/W2010588734","https://openalex.org/W2031921689","https://openalex.org/W2098470668","https://openalex.org/W2101765144","https://openalex.org/W2171948434","https://openalex.org/W2514875757","https://openalex.org/W2614053718","https://openalex.org/W2770265919","https://openalex.org/W2900009113","https://openalex.org/W2944948997","https://openalex.org/W2967456992","https://openalex.org/W3091236587","https://openalex.org/W3184528658","https://openalex.org/W4236180890","https://openalex.org/W4251846933","https://openalex.org/W4312121017","https://openalex.org/W6607733656","https://openalex.org/W6663763761","https://openalex.org/W6783273115","https://openalex.org/W6847936146"],"related_works":["https://openalex.org/W2347990402","https://openalex.org/W4285407291","https://openalex.org/W2618419521","https://openalex.org/W2376614815","https://openalex.org/W2347609555","https://openalex.org/W2348349338","https://openalex.org/W2389800319","https://openalex.org/W2186246304","https://openalex.org/W3140076208","https://openalex.org/W2083775566"],"abstract_inverted_index":{"Images":[0],"are":[1,40],"often":[2],"corrupted":[3],"with":[4],"noise.":[5],"As":[6],"a":[7,57,110],"result,":[8],"noise":[9,19,60],"reduction":[10,20,61,112],"is":[11,83,87,95],"an":[12,52],"important":[13],"task":[14],"in":[15,34,113],"image":[16],"processing.":[17],"Common":[18],"techniques,":[21],"such":[22],"as":[23,85],"mean":[24],"or":[25],"median":[26],"filtering,":[27],"lead":[28],"to":[29,42,89,97,121],"blurring":[30],"of":[31,70,130],"the":[32,35,44,99,114,122,128,131],"edges":[33],"image,":[36],"while":[37,126],"fuzzy":[38,59,77,80,93],"filters":[39],"able":[41],"preserve":[43],"edge":[45,74],"information.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"implement":[51],"efficient":[53],"hardware":[54,115],"design":[55],"for":[56],"well-known":[58],"filter":[62,68],"based":[63,102],"on":[64,103],"stochastic":[65],"computing.":[66],"The":[67,79],"consists":[69],"two":[71],"main":[72],"stages:":[73],"detection":[75],"and":[76,117],"smoothing.":[78],"difference,":[81],"which":[82],"encoded":[84],"bit-streams,":[86],"used":[88],"detect":[90],"edges.":[91],"Then,":[92],"smoothing":[94],"done":[96],"average":[98],"pixel":[100],"value":[101],"eight":[104],"directions.":[105],"Our":[106],"experimental":[107],"results":[108],"show":[109],"significant":[111],"area":[116],"power":[118],"consumption":[119],"compared":[120],"conventional":[123],"binary":[124],"implementation":[125],"preserving":[127],"quality":[129],"results.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
