{"id":"https://openalex.org/W4403722475","doi":"https://doi.org/10.1109/tcsvt.2024.3486050","title":"A Destriping Framework With Arbitrary Bounded Image Denoisers","display_name":"A Destriping Framework With Arbitrary Bounded Image Denoisers","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403722475","doi":"https://doi.org/10.1109/tcsvt.2024.3486050"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3486050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3486050","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5030009793","display_name":"Chuanxi Qian","orcid":"https://orcid.org/0009-0006-4477-1634"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenyang Qian","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-4477-1634","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054821891","display_name":"Lingfei Song","orcid":"https://orcid.org/0000-0003-4716-8508"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfei Song","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4716-8508","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022334521","display_name":"Hua Huang","orcid":"https://orcid.org/0000-0003-2587-1702"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Huang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2587-1702","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030009793"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6503418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"3","first_page":"2341","last_page":"2354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9746000170707703,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9678000211715698,"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":0.6786943078041077},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5731549263000488},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5726214647293091},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3778802752494812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3613363802433014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34154969453811646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22269389033317566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786943078041077},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5731549263000488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5726214647293091},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3778802752494812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3613363802433014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34154969453811646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22269389033317566},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3486050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3486050","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3612069626","display_name":null,"funder_award_id":"62402048","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1970821875","https://openalex.org/W1994040806","https://openalex.org/W2006431228","https://openalex.org/W2023005931","https://openalex.org/W2037133587","https://openalex.org/W2048695508","https://openalex.org/W2053742104","https://openalex.org/W2054855363","https://openalex.org/W2056263357","https://openalex.org/W2056370875","https://openalex.org/W2057374579","https://openalex.org/W2058453009","https://openalex.org/W2080142539","https://openalex.org/W2082964579","https://openalex.org/W2086481235","https://openalex.org/W2097073572","https://openalex.org/W2102166818","https://openalex.org/W2110940063","https://openalex.org/W2121927366","https://openalex.org/W2133132088","https://openalex.org/W2141392753","https://openalex.org/W2194775991","https://openalex.org/W2296055064","https://openalex.org/W2324298973","https://openalex.org/W2326587421","https://openalex.org/W2478161948","https://openalex.org/W2508457857","https://openalex.org/W2515271729","https://openalex.org/W2574952845","https://openalex.org/W2764169013","https://openalex.org/W2764207251","https://openalex.org/W2772771880","https://openalex.org/W2778532031","https://openalex.org/W2800379558","https://openalex.org/W2808168932","https://openalex.org/W2883181864","https://openalex.org/W2901913663","https://openalex.org/W2912083599","https://openalex.org/W2963017889","https://openalex.org/W2963814976","https://openalex.org/W2985715624","https://openalex.org/W2990514913","https://openalex.org/W2996085728","https://openalex.org/W3032092961","https://openalex.org/W3096482987","https://openalex.org/W3134379028","https://openalex.org/W3167568784","https://openalex.org/W3205847273","https://openalex.org/W3207918547","https://openalex.org/W4206245060","https://openalex.org/W4210331506","https://openalex.org/W4210842583","https://openalex.org/W4225817345","https://openalex.org/W4285059972","https://openalex.org/W4289656142","https://openalex.org/W4313350256","https://openalex.org/W4318767904","https://openalex.org/W4320002718","https://openalex.org/W4385412750","https://openalex.org/W4387010664","https://openalex.org/W4390691221","https://openalex.org/W4400447317","https://openalex.org/W4403277037","https://openalex.org/W6762438721","https://openalex.org/W6851672917"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Explicit":[0],"stripes":[1],"in":[2,115,184],"digital":[3],"images":[4],"have":[5],"long":[6],"posed":[7],"challenges":[8],"for":[9,22,27],"computer":[10],"vision":[11],"tasks,":[12,29],"which":[13,82],"significantly":[14],"disturbs":[15],"visual":[16],"perceptions":[17],"and":[18,36,73,76,133,193,199,207],"is":[19,142,175,182],"not":[20],"desirable":[21],"subsequent":[23],"applications.":[24],"Existing":[25],"methods":[26],"destriping":[28,67],"often":[30],"constrained":[31],"by":[32],"image":[33,101,131,164],"prior":[34,165],"assumptions":[35],"lacking":[37],"flexibility,":[38],"demonstrate":[39],"limited":[40],"practical":[41],"applicability.":[42],"In":[43],"response":[44],"to":[45,153,161],"these":[46,79],"challenges,":[47],"this":[48,124],"paper":[49,125],"proposes":[50],"a":[51],"flexible":[52],"Destriping":[53],"framework":[54,64,148,174],"with":[55],"arbitrary":[56],"bounded":[57,183],"Image":[58],"Denoisers,":[59],"called":[60],"DID.":[61],"The":[62,92],"proposed":[63,146,203],"decouples":[65],"the":[66,85,90,95,99,103,107,110,116,121,127,145,155,159,168,172,179,197,202],"task":[68],"into":[69],"conditional":[70,96,122,134,156],"expectation":[71,97,135],"calculation":[72,136],"stripe":[74],"estimation,":[75],"alternates":[77],"between":[78,129],"two":[80],"parts,":[81],"finally":[83],"obtains":[84],"maximum":[86],"likelihood":[87],"estimation":[88],"of":[89,98,112,171,201],"image.":[91,118],"former":[93],"calculates":[94],"clean":[100],"given":[102],"estimated":[104],"stripe,":[105],"while":[106],"latter":[108],"estimates":[109],"mean":[111],"each":[113],"column":[114],"residual":[117],"To":[119],"calculate":[120,154],"expectation,":[123,157],"analyzes":[126],"equivalence":[128],"general":[130],"denoising":[132],"based":[137],"on":[138,190],"Bayesian":[139],"statistics.":[140],"It":[141],"proven":[143],"that":[144,178],"DID":[147,173],"flexibly":[149],"incorporates":[150],"existing":[151],"denoisers":[152],"without":[158],"need":[160],"explicitly":[162],"define":[163],"assumptions.":[166],"Furthermore,":[167],"fixed-point":[169],"convergence":[170],"guaranteed":[176],"postulating":[177],"applied":[180],"denoiser":[181],"an":[185],"F-norm":[186],"manner.":[187],"Experimental":[188],"results":[189],"both":[191,205],"synthesized":[192],"real":[194],"data":[195],"validate":[196],"effectiveness":[198],"generalization":[200],"method,":[204],"quantitatively":[206],"qualitatively.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}