{"id":"https://openalex.org/W1998295253","doi":"https://doi.org/10.1109/rait.2012.6194489","title":"Noise reduction and image enhancement of MRI using adaptive multiscale data condensation","display_name":"Noise reduction and image enhancement of MRI using adaptive multiscale data condensation","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W1998295253","doi":"https://doi.org/10.1109/rait.2012.6194489","mag":"1998295253"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2012.6194489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","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/A5066130846","display_name":"Dipankar Ray","orcid":"https://orcid.org/0000-0001-6077-1155"},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dipankar Ray","raw_affiliation_strings":["Department of CSE, Indian School of Mines Dhanbad, Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Indian School of Mines Dhanbad, Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086574581","display_name":"D. Dutta Majumder","orcid":"https://orcid.org/0000-0002-5874-2870"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D Dutta Majumder","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101814582","display_name":"Amit Das","orcid":"https://orcid.org/0000-0001-7733-2976"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Das","raw_affiliation_strings":["Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, India","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066130846"],"corresponding_institution_ids":["https://openalex.org/I189109744"],"apc_list":null,"apc_paid":null,"fwci":1.3727,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82287845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":null,"first_page":"107","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7230891585350037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6601315140724182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654102623462677},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6526416540145874},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.6287861466407776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5974895358085632},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5852780342102051},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5815179944038391},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4575497508049011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41804343461990356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3901461064815521}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7230891585350037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6601315140724182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654102623462677},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6526416540145874},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6287861466407776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5974895358085632},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5852780342102051},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5815179944038391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4575497508049011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41804343461990356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3901461064815521},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2012.6194489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W151639760","https://openalex.org/W590777244","https://openalex.org/W1560107318","https://openalex.org/W1570713908","https://openalex.org/W1587362683","https://openalex.org/W1779461070","https://openalex.org/W1975721432","https://openalex.org/W1993002126","https://openalex.org/W2011344206","https://openalex.org/W2013457550","https://openalex.org/W2017094884","https://openalex.org/W2017540834","https://openalex.org/W2030521421","https://openalex.org/W2035246484","https://openalex.org/W2039472483","https://openalex.org/W2050913223","https://openalex.org/W2059784307","https://openalex.org/W2069473723","https://openalex.org/W2074654463","https://openalex.org/W2079724595","https://openalex.org/W2100031985","https://openalex.org/W2100115174","https://openalex.org/W2132140814","https://openalex.org/W2139609601","https://openalex.org/W2146505968","https://openalex.org/W2147657861","https://openalex.org/W2314705524","https://openalex.org/W4214806317","https://openalex.org/W4255521522"],"related_works":["https://openalex.org/W2363395155","https://openalex.org/W2353350167","https://openalex.org/W2131048104","https://openalex.org/W2375659797","https://openalex.org/W2614382458","https://openalex.org/W1529631489","https://openalex.org/W2370626047","https://openalex.org/W1606782322","https://openalex.org/W2254945790","https://openalex.org/W2966246521"],"abstract_inverted_index":{"MR":[0,29,129],"images":[1,131],"often":[2],"suffer":[3],"from":[4],"different":[5],"types":[6],"of":[7,28,49,55,93],"noises,":[8],"artifacts":[9],"and":[10,32,75,86,97,135,146,152],"inhomogeneities":[11],"due":[12],"to":[13,61,72,101,111,115,120],"diverse":[14],"reasons":[15],"which":[16],"hinders":[17],"the":[18,47,53,62,112,121,136],"image":[19,30,33],"understanding":[20],"process.":[21],"Here":[22],"we":[23],"have":[24],"proposed":[25],"a":[26,79],"method":[27],"denoising":[31],"enhancement":[34],"using":[35,143],"adaptive":[36],"multiscale":[37],"data":[38],"condensation":[39],"(MDC)":[40],"strategy.":[41],"The":[42,66,124],"strategy":[43,125],"is":[44,69,84,126,138],"based":[45,149],"on":[46,52],"selection":[48],"representative":[50],"neighbourhood":[51],"basis":[54],"their":[56,73],"information":[57,67],"content":[58,68,96],"with":[59,99,132,140],"respect":[60,100],"entire":[63],"filter":[64,145],"mask.":[65],"computed":[70],"according":[71,119],"feature":[74,95],"relative":[76],"location":[77],"within":[78],"search":[80],"window.":[81],"Each":[82],"pixel":[83],"evaluated":[85],"subsequently":[87],"modified,":[88],"if":[89],"required,":[90],"in":[91,106],"terms":[92],"its":[94,102],"weightage":[98],"neighbour.":[103],"Parameter":[104],"calculated":[105],"one":[107],"mask":[108,114],"window":[109],"continues":[110],"adjacent":[113],"get":[116],"adaptively":[117],"adjusted":[118],"local":[122],"requirement.":[123],"studied":[127],"over":[128],"brain":[130],"Rician":[133],"noise":[134,141,150],"performance":[137],"compared":[139],"removal":[142],"Wiener":[144],"wavelet":[147],"transformation":[148],"reduction":[151],"reconstruction":[153],"tools.":[154]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
