{"id":"https://openalex.org/W3126796815","doi":"https://doi.org/10.1109/tmm.2021.3056879","title":"Signal-Dependent Noise Estimation for a Real-Camera Model via Weight and Shape Constraints","display_name":"Signal-Dependent Noise Estimation for a Real-Camera Model via Weight and Shape Constraints","publication_year":2021,"publication_date":"2021-02-08","ids":{"openalex":"https://openalex.org/W3126796815","doi":"https://doi.org/10.1109/tmm.2021.3056879","mag":"3126796815"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3056879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3056879","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5058083055","display_name":"Heng Yao","orcid":"https://orcid.org/0000-0002-3784-4157"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Yao","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033986701","display_name":"Mian Zou","orcid":"https://orcid.org/0000-0003-4306-8980"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mian Zou","raw_affiliation_strings":["School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072469414","display_name":"Chuan Qin","orcid":"https://orcid.org/0000-0002-0370-4623"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Qin","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101889358","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0002-0212-3501"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058083055"],"corresponding_institution_ids":["https://openalex.org/I148128674"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63050654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":null,"first_page":"640","last_page":"654"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9969000220298767,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.6958483457565308},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6443288922309875},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6240185499191284},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.6194301247596741},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6154492497444153},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.5953570008277893},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5552508234977722},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.5212598443031311},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5211346745491028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5006430149078369},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4524393081665039},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.392076313495636},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3254925012588501},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2554033398628235},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.13869529962539673},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08286267518997192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958483457565308},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6443288922309875},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6240185499191284},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.6194301247596741},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6154492497444153},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.5953570008277893},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5552508234977722},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5212598443031311},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5211346745491028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5006430149078369},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4524393081665039},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.392076313495636},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3254925012588501},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2554033398628235},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.13869529962539673},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08286267518997192}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3056879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3056879","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2292087442","display_name":null,"funder_award_id":"61702332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2429589907","display_name":null,"funder_award_id":"U1936214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3013396789","display_name":null,"funder_award_id":"61525203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3145175467","display_name":null,"funder_award_id":"61672354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4257199293","display_name":null,"funder_award_id":"U1636206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6435596466","display_name":null,"funder_award_id":"U20B2051","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W15168827","https://openalex.org/W1514928307","https://openalex.org/W1597606624","https://openalex.org/W1979372947","https://openalex.org/W1983191783","https://openalex.org/W2012211539","https://openalex.org/W2023005931","https://openalex.org/W2024991751","https://openalex.org/W2027898483","https://openalex.org/W2044713151","https://openalex.org/W2052452674","https://openalex.org/W2056370875","https://openalex.org/W2058887147","https://openalex.org/W2062515778","https://openalex.org/W2073195291","https://openalex.org/W2087361987","https://openalex.org/W2097073572","https://openalex.org/W2104745266","https://openalex.org/W2114582531","https://openalex.org/W2121927366","https://openalex.org/W2124545674","https://openalex.org/W2133934946","https://openalex.org/W2136035751","https://openalex.org/W2142601254","https://openalex.org/W2153244537","https://openalex.org/W2156015172","https://openalex.org/W2157661720","https://openalex.org/W2159736423","https://openalex.org/W2161607426","https://openalex.org/W2164787853","https://openalex.org/W2170835289","https://openalex.org/W2274505654","https://openalex.org/W2299470528","https://openalex.org/W2410977227","https://openalex.org/W2539781702","https://openalex.org/W2566815267","https://openalex.org/W2773068069","https://openalex.org/W2789650830","https://openalex.org/W2790168061","https://openalex.org/W2794891752","https://openalex.org/W2894007788","https://openalex.org/W2909912710","https://openalex.org/W2922457980","https://openalex.org/W2972704308","https://openalex.org/W4233323564","https://openalex.org/W4250589301","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W2955414824","https://openalex.org/W2005333371","https://openalex.org/W2013771251","https://openalex.org/W1969252538","https://openalex.org/W4297491189","https://openalex.org/W2124212511","https://openalex.org/W1964290457","https://openalex.org/W972036175","https://openalex.org/W2545294132","https://openalex.org/W2004836404"],"abstract_inverted_index":{"Most":[0],"computer":[1],"vision":[2],"algorithms":[3],"require":[4],"parameter":[5],"adjustment":[6],"according":[7],"to":[8,52,82,100],"the":[9,14,36,40,54,65,70,85,94,104,118,126,130,133,143,146,149,172,175,180],"image":[10,101,106],"noise":[11,18,26,41,56,86,95,113,127,150],"level.":[12],"Conventionally,":[13],"additive":[15],"white":[16],"Gaussian":[17],"(AWGN)":[19],"model":[20,67],"is":[21,44,49,91,107],"widely":[22],"used":[23],"in":[24,35,117,156,198],"most":[25],"estimation":[27],"algorithms;":[28],"however,":[29],"this":[30,60],"assumption":[31],"does":[32],"not":[33],"hold":[34],"real":[37,166],"world":[38],"where":[39],"from":[42],"cameras":[43],"more":[45,50],"complex,":[46],"and":[47,78,112,129,152,167,192,194],"it":[48],"appropriate":[51],"assume":[53],"signal-dependent":[55],"(SDN)":[57],"model.":[58],"In":[59,178],"paper,":[61],"we":[62],"focus":[63],"on":[64],"SDN":[66],"while":[68],"considering":[69],"nonlinear":[71],"radiometric":[72],"calibration":[73],"inside":[74],"an":[75,80],"actual":[76],"camera,":[77],"propose":[79],"algorithm":[81],"efficiently":[83],"estimate":[84],"level":[87],"function":[88,136],"(NLF),":[89],"which":[90],"defined":[92],"as":[93,140],"standard":[96],"deviation":[97],"with":[98],"respect":[99],"intensity.":[102],"First,":[103],"input":[105],"divided":[108],"into":[109,185],"overlapping":[110],"patches,":[111],"samples":[114,128,151],"are":[115,137,154,183],"estimated":[116,181],"linear":[119],"transform":[120],"domain.":[121],"The":[122,161],"confidence":[123],"levels":[124],"of":[125,132,145,174],"prior":[131],"camera":[134],"response":[135],"then":[138],"employed":[139],"constraints":[141,153],"for":[142],"recovery":[144],"NLF.":[147],"Finally,":[148],"represented":[155],"a":[157],"convex":[158],"optimization":[159],"problem.":[160],"experimental":[162],"results":[163],"using":[164],"both":[165],"synthetic":[168],"noisy":[169],"images":[170],"demonstrate":[171],"superiority":[173],"proposed":[176],"method.":[177],"addition,":[179],"NLFs":[182],"incorporated":[184],"two":[186],"well-known":[187],"denoising":[188,199],"schemes,":[189],"non-local":[190],"means":[191],"BM3D,":[193],"shows":[195],"significant":[196],"improvements":[197],"SDN-polluted":[200],"images.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}