{"id":"https://openalex.org/W4213278915","doi":"https://doi.org/10.1109/access.2022.3151361","title":"RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients","display_name":"RNS-Based FPGA Accelerators for High-Quality 3D Medical Image Wavelet Processing Using Scaled Filter Coefficients","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213278915","doi":"https://doi.org/10.1109/access.2022.3151361"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3151361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09713868.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09713868.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019972460","display_name":"Nikolay Nagornov","orcid":"https://orcid.org/0000-0002-9423-3555"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikolay N. Nagornov","raw_affiliation_strings":["Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia"],"raw_orcid":"https://orcid.org/0000-0002-9423-3555","affiliations":[{"raw_affiliation_string":"Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032223985","display_name":"Pavel Lyakhov","orcid":"https://orcid.org/0000-0003-0487-4779"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel A. Lyakhov","raw_affiliation_strings":["Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia","North-Caucasus Center for Mathematical Research, North-Caucasus Federal University, Stavropol, Russia","North-Caucasus Federal University, Stavropol, Russia"],"raw_orcid":"https://orcid.org/0000-0003-0487-4779","affiliations":[{"raw_affiliation_string":"Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]},{"raw_affiliation_string":"North-Caucasus Center for Mathematical Research, North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]},{"raw_affiliation_string":"North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004597011","display_name":"Maria Valueva","orcid":"https://orcid.org/0000-0002-4732-3216"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maria V. Valueva","raw_affiliation_strings":["North-Caucasus Center for Mathematical Research, North-Caucasus Federal University, Stavropol, Russia"],"raw_orcid":"https://orcid.org/0000-0002-4732-3216","affiliations":[{"raw_affiliation_string":"North-Caucasus Center for Mathematical Research, North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017566054","display_name":"Maxim Bergerman","orcid":"https://orcid.org/0000-0003-2937-8501"},"institutions":[{"id":"https://openalex.org/I210043505","display_name":"North-Caucasus Federal University","ror":"https://ror.org/05g1k4d79","country_code":"RU","type":"education","lineage":["https://openalex.org/I210043505"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maxim V. Bergerman","raw_affiliation_strings":["Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia"],"raw_orcid":"https://orcid.org/0000-0003-2937-8501","affiliations":[{"raw_affiliation_string":"Department of Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia","institution_ids":["https://openalex.org/I210043505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I210043505"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1376,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.76856514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"19215","last_page":"19231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9986000061035156,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.7637819051742554},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6371668577194214},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5973172783851624},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5556273460388184},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4565224051475525},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4554133713245392},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4512363076210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44834229350090027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44456806778907776},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.42539146542549133},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41212067008018494},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3613848090171814},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18432462215423584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7637819051742554},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6371668577194214},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5973172783851624},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5556273460388184},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4565224051475525},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4554133713245392},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4512363076210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44834229350090027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44456806778907776},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.42539146542549133},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41212067008018494},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3613848090171814},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18432462215423584}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3151361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09713868.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d47db4cfa09948eaa438b85f37da2e7f","is_oa":true,"landing_page_url":"https://doaj.org/article/d47db4cfa09948eaa438b85f37da2e7f","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":"IEEE Access, Vol 10, Pp 19215-19231 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3151361","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3151361","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09713868.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1738267885","display_name":null,"funder_award_id":"075-02-2022-892","funder_id":"https://openalex.org/F4320327494","funder_display_name":"Ministry of Science and Higher Education of the Russian Federation"},{"id":"https://openalex.org/G5485284822","display_name":null,"funder_award_id":"21-71-00017","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320314331","display_name":"Centre de Recherches Math\u00e9matiques","ror":null},{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"},{"id":"https://openalex.org/F4320327494","display_name":"Ministry of Science and Higher Education of the Russian Federation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213278915.pdf","grobid_xml":"https://content.openalex.org/works/W4213278915.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1963965124","https://openalex.org/W1985654136","https://openalex.org/W2040747879","https://openalex.org/W2094799249","https://openalex.org/W2102740494","https://openalex.org/W2137898528","https://openalex.org/W2144783994","https://openalex.org/W2235768375","https://openalex.org/W2411754387","https://openalex.org/W2479163984","https://openalex.org/W2502369107","https://openalex.org/W2555012712","https://openalex.org/W2564933552","https://openalex.org/W2581267376","https://openalex.org/W2597124295","https://openalex.org/W2602038345","https://openalex.org/W2622458132","https://openalex.org/W2734555299","https://openalex.org/W2760772103","https://openalex.org/W2786006335","https://openalex.org/W2786581342","https://openalex.org/W2795008422","https://openalex.org/W2801856465","https://openalex.org/W2802631439","https://openalex.org/W2803692747","https://openalex.org/W2805273303","https://openalex.org/W2806542417","https://openalex.org/W2806880166","https://openalex.org/W2807126840","https://openalex.org/W2809700342","https://openalex.org/W2883105305","https://openalex.org/W2884736170","https://openalex.org/W2884758090","https://openalex.org/W2886710489","https://openalex.org/W2901071957","https://openalex.org/W2901239122","https://openalex.org/W2911566884","https://openalex.org/W2914098614","https://openalex.org/W2917101360","https://openalex.org/W2921384086","https://openalex.org/W2926971814","https://openalex.org/W2941046259","https://openalex.org/W2957990058","https://openalex.org/W2965136699","https://openalex.org/W2968174667","https://openalex.org/W2973444803","https://openalex.org/W2980724434","https://openalex.org/W2984147745","https://openalex.org/W2989886431","https://openalex.org/W2992715741","https://openalex.org/W2997591000","https://openalex.org/W3004924662","https://openalex.org/W3008750221","https://openalex.org/W3012206945","https://openalex.org/W3023192521","https://openalex.org/W3023347883","https://openalex.org/W3024789361","https://openalex.org/W3026493856","https://openalex.org/W3028469186","https://openalex.org/W3041166440","https://openalex.org/W3043330105","https://openalex.org/W3047204353","https://openalex.org/W3048524582","https://openalex.org/W3061549574","https://openalex.org/W3093431919","https://openalex.org/W3094084609","https://openalex.org/W3101245697","https://openalex.org/W3116631623","https://openalex.org/W3124852166","https://openalex.org/W3127113221","https://openalex.org/W3135495922","https://openalex.org/W4210830821","https://openalex.org/W4237029880","https://openalex.org/W4243810185","https://openalex.org/W4244281090","https://openalex.org/W6740844715","https://openalex.org/W6747498090"],"related_works":["https://openalex.org/W2116037602","https://openalex.org/W2368671946","https://openalex.org/W2007377145","https://openalex.org/W1996520261","https://openalex.org/W1502763594","https://openalex.org/W2885148902","https://openalex.org/W2151432121","https://openalex.org/W4248172957","https://openalex.org/W2019040739","https://openalex.org/W2034276615"],"abstract_inverted_index":{"Medical":[0,57],"imaging":[1,58,90],"using":[2,76,130,163,184,198],"different":[3],"modalities":[4],"has":[5],"many":[6],"problems.":[7],"The":[8,158,220],"main":[9],"ones":[10],"are":[11,29,114],"low":[12],"informativeness,":[13],"various":[14,44],"distortion":[15],"noises,":[16],"and":[17,25,47,52,67,81,95,139,170],"a":[18,85,188],"large":[19,86],"amount":[20],"of":[21,88,151,187,193],"information.":[22],"Fusion,":[23],"denoising,":[24,46],"visual":[26],"data":[27,91],"compression":[28,48],"used":[30],"to":[31,42,117,147,217],"solve":[32,118],"them":[33],"in":[34,142,182,233],"practice.":[35],"Discrete":[36],"wavelet":[37,131,173],"transform":[38],"is":[39,161,180,224],"one":[40],"way":[41],"implement":[43],"fusion,":[45],"methods":[49],"for":[50,101],"2D":[51],"3D":[53,153,194,229],"medical":[54,89,102,154,195,230],"image":[55,103,155,196,231],"processing.":[56],"systems":[59],"produce":[60],"increasingly":[61],"accurate":[62],"images":[63,72],"with":[64,134,168],"scanning":[65],"technology":[66],"digital":[68],"devices":[69,100],"development.":[70],"These":[71],"have":[73],"improved":[74],"quality":[75],"both":[77],"higher":[78],"spatial":[79],"resolutions":[80],"color":[82],"bit-depth.":[83],"Processing":[84],"volume":[87],"requires":[92],"considerable":[93],"resources":[94,212],"processing":[96,104,132,232],"time.":[97],"Modern":[98],"wavelet-based":[99],"do":[105],"not":[106],"meet":[107],"the":[108,149,164,171,199,210],"current":[109],"performance":[110,150,205,222],"demand.":[111],"Hardware":[112,191],"accelerators":[113,129,202],"being":[115],"designed":[116],"this":[119],"problem.":[120],"This":[121],"paper":[122],"proposes":[123],"new":[124],"(field-programmable":[125],"gate":[126],"array)":[127],"FPGA":[128,201],"(WP)":[133],"scaled":[135],"filter":[136,174],"coefficients":[137,175],"(SFC)":[138],"parallel":[140],"computing":[141,179],"residue":[143],"number":[144],"system":[145],"(RNS)":[146],"improve":[148],"high-quality":[152,228],"WP":[156,166,197],"systems.":[157],"computational":[159],"complexity":[160],"reduced":[162],"developed":[165],"method":[167],"SFC":[169],"proposed":[172,200],"scaling":[176],"algorithm.":[177],"Parallel":[178],"organized":[181],"RNS":[183],"moduli":[185],"sets":[186],"particular":[189],"type.":[190],"implementation":[192],"increases":[203],"device":[204,221],"by":[206,213],"2.89-3.59":[207],"times,":[208],"increasing":[209],"hardware":[211],"1.18-3.29":[214],"times":[215],"compared":[216],"state-of-the-art":[218],"solutions.":[219],"improvement":[223],"achieved":[225],"while":[226],"maintaining":[227],"peak":[234],"signal-to-noise":[235],"ratio":[236],"terms.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}