{"id":"https://openalex.org/W4225287706","doi":"https://doi.org/10.1109/icassp43922.2022.9746870","title":"Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising","display_name":"Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225287706","doi":"https://doi.org/10.1109/icassp43922.2022.9746870"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746870","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5032774989","display_name":"Zhiyuan Zha","orcid":"https://orcid.org/0000-0002-5515-5339"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhiyuan Zha","raw_affiliation_strings":["Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024709593","display_name":"Bihan Wen","orcid":"https://orcid.org/0000-0002-6874-6453"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bihan Wen","raw_affiliation_strings":["Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical &amp; Electronic Engineering,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015431603","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0002-8311-7524"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["Nokia Bell Labs,Murray Hill,NJ,07974"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs,Murray Hill,NJ,07974","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037979193","display_name":"Jiantao Zhou","orcid":"https://orcid.org/0000-0002-6015-2618"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jiantao Zhou","raw_affiliation_strings":["University of Macau,Department of Computer and Information Science,Macau,China,999078"],"affiliations":[{"raw_affiliation_string":"University of Macau,Department of Computer and Information Science,Macau,China,999078","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032774989"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.5393,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74304862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2320","last_page":"2324"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9993000030517578,"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/prior-probability","display_name":"Prior probability","score":0.8151896595954895},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6408843398094177},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5896021127700806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219197273254395},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.5071203708648682},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4930274188518524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44524189829826355},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4384106695652008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43566659092903137},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4249670207500458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3946959674358368},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3679908514022827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35779625177383423},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2518077790737152},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1913941204547882},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13392218947410583}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8151896595954895},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6408843398094177},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5896021127700806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219197273254395},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.5071203708648682},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4930274188518524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44524189829826355},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4384106695652008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43566659092903137},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4249670207500458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3946959674358368},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3679908514022827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35779625177383423},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2518077790737152},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1913941204547882},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13392218947410583},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746870","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2040895929","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2071005004","https://openalex.org/W2087416986","https://openalex.org/W2108855378","https://openalex.org/W2109240917","https://openalex.org/W2121366584","https://openalex.org/W2133381685","https://openalex.org/W2155969596","https://openalex.org/W2162266621","https://openalex.org/W2421886322","https://openalex.org/W2505029951","https://openalex.org/W2508457857","https://openalex.org/W2568381517","https://openalex.org/W2613155248","https://openalex.org/W2690801559","https://openalex.org/W2764207251","https://openalex.org/W2889700716","https://openalex.org/W2907368145","https://openalex.org/W2942098194","https://openalex.org/W2949440985","https://openalex.org/W2951842026","https://openalex.org/W2962840844","https://openalex.org/W2963299521","https://openalex.org/W2963315679","https://openalex.org/W2964261957","https://openalex.org/W2982287689","https://openalex.org/W2995679912","https://openalex.org/W2999778662","https://openalex.org/W3035446378","https://openalex.org/W3101808677","https://openalex.org/W3115861417","https://openalex.org/W3161747711","https://openalex.org/W3172689673","https://openalex.org/W4292363360","https://openalex.org/W6762438721"],"related_works":["https://openalex.org/W4379279744","https://openalex.org/W2092619848","https://openalex.org/W2978050610","https://openalex.org/W4289702210","https://openalex.org/W2951943452","https://openalex.org/W2886142663","https://openalex.org/W1969913375","https://openalex.org/W1759666729","https://openalex.org/W4383173908","https://openalex.org/W2293078948"],"abstract_inverted_index":{"Poisson":[0,24,26,50,114,131],"noise":[1],"is":[2,28,107],"a":[3,38],"common":[4],"electronic":[5],"noise,":[6,25],"which":[7,70],"has":[8],"widely":[9],"occurred":[10],"in":[11,134],"various":[12],"photo-limited":[13],"imaging":[14],"systems.":[15],"However,":[16],"due":[17],"to":[18,109],"signal-dependent":[19],"and":[20,45,59,67,79,82,84,86,138],"multiplicative":[21],"characteristics":[22],"for":[23,49],"denoising":[27,115,132],"still":[29],"an":[30,93],"open":[31],"problem.":[32,116],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"novel":[39],"approach":[40],"using":[41],"simultaneous":[42],"nonlocal":[43,57,78],"low-rank":[44],"deep":[46,60],"priors":[47,62],"(SNLDP)":[48],"denoising.":[51],"The":[52],"proposed":[53,112,124],"SNLD-P":[54],"simultaneously":[55],"employs":[56],"self-similarity":[58],"image":[61],"under":[63,102],"the":[64,90,103,111,120,123],"hybrid":[65],"plug":[66],"play":[68],"framework,":[69],"comprises":[71],"multiple":[72],"pairs":[73],"of":[74,98,122,136],"complementary":[75],"priors,":[76],"namely,":[77],"local,":[80],"shallow":[81],"deep,":[83],"internal":[85],"external.":[87],"To":[88],"make":[89],"optimization":[91],"tractable,":[92],"effective":[94],"alternating":[95],"direction":[96],"method":[97],"multiplier":[99],"(ADMM)":[100],"algorithm":[101],"alternative":[104],"minimization":[105],"framework":[106],"provided":[108],"solve":[110],"SNLDP-based":[113],"Experimental":[117],"results":[118],"demonstrate":[119],"superiority":[121],"SNLDP":[125],"over":[126],"many":[127],"popular":[128],"or":[129],"state-of-the-art":[130],"algorithms":[133],"terms":[135],"quantitative":[137],"visual":[139],"perception.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
