{"id":"https://openalex.org/W2909356672","doi":"https://doi.org/10.1080/21681163.2018.1562994","title":"Enhanced Homomorphic Unsharp Masking method for intensity inhomogeneity correction in brain MR images","display_name":"Enhanced Homomorphic Unsharp Masking method for intensity inhomogeneity correction in brain MR images","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2909356672","doi":"https://doi.org/10.1080/21681163.2018.1562994","mag":"2909356672"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2018.1562994","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2018.1562994","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5104324273","display_name":"Praylin Selva Blessy S. A.","orcid":null},"institutions":[{"id":"https://openalex.org/I2802986704","display_name":"Kanyakumari Government Medical College","ror":"https://ror.org/00cpstt72","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802986704"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Praylin Selva Blessy S. A.","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Kanyakumari, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Bethlahem Institute of Engineering, Kanyakumari, India","institution_ids":["https://openalex.org/I2802986704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079711571","display_name":"Helen Sulochana C.","orcid":null},"institutions":[{"id":"https://openalex.org/I906608882","display_name":"St Xavier\u2019s College","ror":"https://ror.org/039543c28","country_code":"IN","type":"education","lineage":["https://openalex.org/I906608882"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Helen Sulochana C.","raw_affiliation_strings":["Department of Electronics and Communication Engineering, St. Xavier\u2019s Catholic College of Engineering, Kanyakumari, India","Department of Electronics and Communication Engineering, St. Xavier's Catholic College of Engineering, Kanyakumari, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, St. Xavier\u2019s Catholic College of Engineering, Kanyakumari, India","institution_ids":["https://openalex.org/I906608882"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, St. Xavier's Catholic College of Engineering, Kanyakumari, India","institution_ids":["https://openalex.org/I906608882"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5104324273"],"corresponding_institution_ids":["https://openalex.org/I2802986704"],"apc_list":null,"apc_paid":null,"fwci":0.7144,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74100334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"1","first_page":"40","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.9977999925613403,"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":0.996999979019165,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9965999722480774,"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/unsharp-masking","display_name":"Unsharp masking","score":0.9334994554519653},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.7002610564231873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5541467666625977},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5392171144485474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5311760902404785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48029062151908875},{"id":"https://openalex.org/keywords/homomorphic-encryption","display_name":"Homomorphic encryption","score":0.45606932044029236},{"id":"https://openalex.org/keywords/homomorphic-filtering","display_name":"Homomorphic filtering","score":0.4493216276168823},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.34727203845977783},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.303653359413147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2571936547756195},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24925965070724487},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21992823481559753},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.1083638072013855},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06872478127479553}],"concepts":[{"id":"https://openalex.org/C79052406","wikidata":"https://www.wikidata.org/wiki/Q365715","display_name":"Unsharp masking","level":4,"score":0.9334994554519653},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.7002610564231873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5541467666625977},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5392171144485474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5311760902404785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48029062151908875},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.45606932044029236},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.4493216276168823},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.34727203845977783},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.303653359413147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2571936547756195},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24925965070724487},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21992823481559753},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.1083638072013855},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06872478127479553},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2018.1562994","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2018.1562994","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1989532447","https://openalex.org/W1998881828","https://openalex.org/W2025641888","https://openalex.org/W2060347391","https://openalex.org/W2109876342","https://openalex.org/W2109936385","https://openalex.org/W2116064956","https://openalex.org/W2117340355","https://openalex.org/W2117530999","https://openalex.org/W2128235968","https://openalex.org/W2133059825","https://openalex.org/W2199676464","https://openalex.org/W2306330850","https://openalex.org/W2335163368","https://openalex.org/W2619051106","https://openalex.org/W2716643460"],"related_works":["https://openalex.org/W2352447358","https://openalex.org/W2531373865","https://openalex.org/W4256445865","https://openalex.org/W1864623429","https://openalex.org/W1814134638","https://openalex.org/W4233000867","https://openalex.org/W1491749076","https://openalex.org/W4390622964","https://openalex.org/W1963991290","https://openalex.org/W2116064956"],"abstract_inverted_index":{"MRI":[0,28],"is":[1,53,108,134],"a":[2,46,91,98],"powerful":[3],"diagnostic":[4],"tool":[5],"providing":[6],"excellent":[7],"soft":[8],"tissue":[9],"contrast":[10],"and":[11,23,42,58,127,140,147,166],"high":[12],"spatial":[13],"resolution.":[14],"However,":[15],"imperfections":[16],"arising":[17],"in":[18,27,72,87,110,158,163],"the":[19,77,88,95,118,122,131,152,155,160],"radio":[20],"frequency":[21],"field":[22],"scanner-related":[24],"intensity":[25,30,33,51,70,105,132,161],"artefacts":[26],"produce":[29],"inhomogeneity.":[31],"These":[32],"variations":[34],"pose":[35],"major":[36],"challenges":[37],"for":[38,55,69],"subsequent":[39],"image":[40],"processing":[41,60],"analysis":[43],"techniques.":[44],"Therefore,":[45],"robust":[47],"means":[48],"of":[49,90,154],"correcting":[50],"inhomogeneity":[52,162],"essential":[54],"any":[56],"accurate":[57],"efficient":[59],"technique.":[61],"Homomorphic":[62,101],"filtering":[63,139],"based":[64],"techniques":[65],"are":[66],"commonly":[67],"used":[68],"correction":[71,106,133],"brain":[73,168],"MR":[74,169],"images,":[75],"but":[76],"halo":[78,96,123],"effect":[79,124],"induced":[80],"by":[81],"these":[82],"methods":[83],"limit":[84],"their":[85],"performance":[86],"presence":[89],"tumour.":[92],"To":[93],"mitigate":[94],"effect,":[97],"novel":[99],"Enhanced":[100],"Unsharp":[102],"Masking":[103],"(EHUM)":[104],"algorithm":[107],"proposed":[109,114,156],"this":[111],"paper.":[112],"The":[113,145],"method":[115,157],"first":[116],"determines":[117],"ROI":[119],"to":[120],"overcome":[121],"between":[125],"foreground":[126],"background":[128],"regions.":[129],"Then,":[130],"carried":[135],"out":[136],"using":[137],"homomorphic":[138],"linear":[141],"grey":[142],"scale":[143],"mapping.":[144],"quantitative":[146],"qualitative":[148],"evaluation":[149],"results":[150],"show":[151],"efficiency":[153],"overcoming":[159],"both":[164],"normal":[165],"abnormal":[167],"images.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}