{"id":"https://openalex.org/W3133991846","doi":"https://doi.org/10.1142/s0219467821500492","title":"Joint Bilateral Filter for Signal Recovery from Phase Preserved Curvelet Coefficients for Image Denoising","display_name":"Joint Bilateral Filter for Signal Recovery from Phase Preserved Curvelet Coefficients for Image Denoising","publication_year":2021,"publication_date":"2021-03-08","ids":{"openalex":"https://openalex.org/W3133991846","doi":"https://doi.org/10.1142/s0219467821500492","mag":"3133991846"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467821500492","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500492","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5090581697","display_name":"Susant Kumar Panigrahi","orcid":"https://orcid.org/0000-0002-8089-3675"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Susant Kumar Panigrahi","raw_affiliation_strings":["School of Electrical & Electronics Engineering, Vellor Institute of Technology (VIT), Bhopal, Madhya Pradesh 466114, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Electronics Engineering, Vellor Institute of Technology (VIT), Bhopal, Madhya Pradesh 466114, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673145","display_name":"Supratim Gupta","orcid":"https://orcid.org/0000-0001-5226-8701"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Supratim Gupta","raw_affiliation_strings":["Department of Electrical Engineering, National Institute of Technology, Rourkela, Odisha 769008, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Institute of Technology, Rourkela, Odisha 769008, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090581697"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63210784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"04","first_page":null,"last_page":null},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973000288009644,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9940999746322632,"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/curvelet","display_name":"Curvelet","score":0.9260004758834839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7325148582458496},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7254008054733276},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6747013926506042},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6113391518592834},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5762189626693726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5529197454452515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5335092544555664},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5284929871559143},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5056099891662598},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.5029954314231873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4939292073249817},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.4718365967273712},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45924973487854004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43889135122299194},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.4190672039985657},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2539690434932709}],"concepts":[{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.9260004758834839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7325148582458496},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7254008054733276},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6747013926506042},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6113391518592834},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5762189626693726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529197454452515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5335092544555664},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5284929871559143},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5056099891662598},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.5029954314231873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4939292073249817},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.4718365967273712},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45924973487854004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43889135122299194},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.4190672039985657},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2539690434932709}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467821500492","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467821500492","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W191129667","https://openalex.org/W1985411373","https://openalex.org/W1993296994","https://openalex.org/W1998419211","https://openalex.org/W1999951602","https://openalex.org/W2006262236","https://openalex.org/W2029630915","https://openalex.org/W2041625018","https://openalex.org/W2053305168","https://openalex.org/W2053745843","https://openalex.org/W2056370875","https://openalex.org/W2060122833","https://openalex.org/W2060747019","https://openalex.org/W2068902206","https://openalex.org/W2085189204","https://openalex.org/W2097061348","https://openalex.org/W2099244020","https://openalex.org/W2100925004","https://openalex.org/W2113945798","https://openalex.org/W2115528090","https://openalex.org/W2125188192","https://openalex.org/W2125527601","https://openalex.org/W2132680427","https://openalex.org/W2133665775","https://openalex.org/W2134902287","https://openalex.org/W2136396015","https://openalex.org/W2138151862","https://openalex.org/W2143820350","https://openalex.org/W2144451417","https://openalex.org/W2147497470","https://openalex.org/W2152417614","https://openalex.org/W2153663612","https://openalex.org/W2156242833","https://openalex.org/W2158940042","https://openalex.org/W2159063898","https://openalex.org/W2159889048","https://openalex.org/W2160451035","https://openalex.org/W2170885533","https://openalex.org/W2303971967","https://openalex.org/W2328587316","https://openalex.org/W2346356682","https://openalex.org/W2507211415","https://openalex.org/W2557599460","https://openalex.org/W2782390608","https://openalex.org/W2963129783","https://openalex.org/W3105373922"],"related_works":["https://openalex.org/W2020709293","https://openalex.org/W2033386799","https://openalex.org/W3142541301","https://openalex.org/W2146220314","https://openalex.org/W1585855827","https://openalex.org/W2139129723","https://openalex.org/W3133991846","https://openalex.org/W1812579945","https://openalex.org/W4214956784","https://openalex.org/W2796607435"],"abstract_inverted_index":{"Thresholding":[0],"of":[1,30,50,118,137,156,166],"Curvelet":[2,31,157],"Coefficients,":[3],"for":[4],"image":[5,110,127,130,139],"denoising,":[6],"drains":[7],"out":[8],"subtle":[9],"signal":[10],"component":[11],"in":[12,34,78,92,107,131,147],"noise":[13,28,43,154,161,179],"subspace.":[14],"In":[15,69],"effect,":[16],"it":[17],"also":[18],"produces":[19],"ringing":[20],"artifacts":[21,106],"near":[22],"edges.":[23],"We":[24],"found":[25],"that":[26],"the":[27,48,51,60,72,76,79,93,100,104,108,116,124,135,148,164],"sensitivity":[29,155],"phases":[32],"\u2014":[33,39],"contrast":[35,70],"to":[36,71,112],"their":[37],"magnitude":[38,62],"reduces":[40],"with":[41,141],"higher":[42,160],"level.":[44],"Thus,":[45],"we":[46],"preserved":[47],"phase":[49,158],"coefficients":[52,77],"below":[53],"threshold":[54],"at":[55,159,177],"coarser":[56],"scale":[57,81,95],"and":[58,144,173],"estimated":[59,83],"corresponding":[61],"by":[63],"Joint":[64],"Bilateral":[65,85],"Filtering":[66,86],"(JBF)":[67],"technique.":[68],"traditional":[73],"hard":[74,113],"thresholding,":[75],"finest":[80,94],"is":[82],"using":[84],"(BF).":[87],"The":[88,152],"proposed":[89,167],"filtering":[90],"approach":[91],"exhibits":[96],"better":[97],"connectedness":[98],"among":[99],"edges,":[101],"while":[102],"removing":[103],"granular":[105],"denoised":[109,129,150],"due":[111],"thresholding.":[114],"Finally,":[115],"use":[117],"Guided":[119],"Image":[120],"Filter":[121],"(GIF)":[122],"on":[123],"Curvelet-based":[125],"reconstructed":[126],"(initial":[128],"spatial":[132],"domain)":[133],"ensures":[134],"preservation":[136],"small":[138],"information":[140],"sharper":[142],"edges":[143],"textures":[145],"detail":[146],"final":[149],"image.":[151],"lower":[153,178],"strength":[162],"accelerates":[163],"performance":[165],"method":[168],"over":[169],"several":[170],"state-of-the-art":[171],"techniques":[172],"provides":[174],"comparable":[175],"outcome":[176],"levels.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}