{"id":"https://openalex.org/W4410341349","doi":"https://doi.org/10.1109/ncc63735.2025.10983492","title":"A Joint Total Variational Denoising Technique for Hyperspectral Imaging","display_name":"A Joint Total Variational Denoising Technique for Hyperspectral Imaging","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4410341349","doi":"https://doi.org/10.1109/ncc63735.2025.10983492"},"language":"en","primary_location":{"id":"doi:10.1109/ncc63735.2025.10983492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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/A5002377642","display_name":"Suman Kumar Maji","orcid":"https://orcid.org/0000-0003-4019-0980"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Suman Kumar Maji","raw_affiliation_strings":["Indian Institute of Technology Patna Bihta,Department of Computer Science and Engineering,Patna,Bihar,India,801103"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Patna Bihta,Department of Computer Science and Engineering,Patna,Bihar,India,801103","institution_ids":["https://openalex.org/I132153292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002377642"],"corresponding_institution_ids":["https://openalex.org/I132153292"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10839336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9855999946594238,"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":0.9855999946594238,"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/T12050","display_name":"Optical Polarization and Ellipsometry","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9078171253204346},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7246716618537903},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6855782866477966},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.6043685674667358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637234449386597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5068514943122864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48797887563705444},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10031372308731079}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9078171253204346},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7246716618537903},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6855782866477966},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.6043685674667358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637234449386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5068514943122864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48797887563705444},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10031372308731079},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc63735.2025.10983492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1944540851","https://openalex.org/W1988386267","https://openalex.org/W1991003630","https://openalex.org/W1993499237","https://openalex.org/W1994040806","https://openalex.org/W1998093007","https://openalex.org/W1998991750","https://openalex.org/W2036359163","https://openalex.org/W2039596145","https://openalex.org/W2092663520","https://openalex.org/W2121338139","https://openalex.org/W2289756263","https://openalex.org/W2323917763","https://openalex.org/W2547777900","https://openalex.org/W2585357012","https://openalex.org/W2593128366","https://openalex.org/W2617982036","https://openalex.org/W2790034605","https://openalex.org/W2790528326","https://openalex.org/W2792333848","https://openalex.org/W2988006983","https://openalex.org/W2991331171","https://openalex.org/W2998841120","https://openalex.org/W3015299897","https://openalex.org/W3015466860","https://openalex.org/W3118496544","https://openalex.org/W3147296415","https://openalex.org/W4206252293","https://openalex.org/W4362654392"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1,34,38,121],"(HSI)":[2],"involves":[3],"capturing":[4],"a":[5,8,29,45,66,68,86],"scene":[6],"across":[7],"broad":[9],"spectrum":[10],"of":[11,44,47,78,126],"electromagnetic":[12],"wavelengths":[13],"to":[14],"facilitate":[15],"detailed":[16],"analysis":[17],"and":[18,49,107,118],"predictive":[19],"applications.":[20],"Nev-ertheless,":[21],"noise":[22,41,54,81,92,129],"introduced":[23],"during":[24],"the":[25,33,76,98,109,124,127],"acquisition":[26],"process":[27],"poses":[28],"significant":[30],"challenge":[31],"for":[32,59,74,90,105],"system.":[35],"In":[36],"hyperspectral":[37,120],"(HSI),":[39],"this":[40],"generally":[42],"consists":[43],"blend":[46],"Gaussian":[48],"impulse":[50],"types,":[51],"making":[52],"efficient":[53],"reduction,":[55],"or":[56],"denoising,":[57],"crucial":[58],"accurate":[60],"image":[61],"analysis.":[62],"This":[63],"study":[64],"proposes":[65],"maximum":[67],"posteriori":[69],"(MAP)":[70],"based":[71],"denoising":[72],"solution,":[73],"eliminating":[75],"presence":[77],"mixed":[79],"Gaussian-impulse":[80],"in":[82],"HSI,":[83],"by":[84],"constructing":[85],"joint":[87,110],"optimization":[88,111],"model":[89],"both":[91,116],"distributions.":[93],"The":[94],"proposed":[95],"solution":[96],"utilizes":[97],"primal-dual":[99],"hybrid":[100],"gradient":[101],"descent":[102],"(PDHG)":[103],"algorithm":[104],"solving":[106],"minimizing":[108],"model.":[112],"Rigorous":[113],"tests":[114],"on":[115],"synthetic":[117],"real":[119],"datasets":[122],"demonstrate":[123],"efficacy":[125],"suggested":[128],"reduction":[130],"technique.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}