{"id":"https://openalex.org/W2175956489","doi":"https://doi.org/10.1186/s13640-015-0093-2","title":"Superpixel-based image noise variance estimation with local statistical assessment","display_name":"Superpixel-based image noise variance estimation with local statistical assessment","publication_year":2015,"publication_date":"2015-11-27","ids":{"openalex":"https://openalex.org/W2175956489","doi":"https://doi.org/10.1186/s13640-015-0093-2","mag":"2175956489"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-015-0093-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0093-2","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0093-2","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0093-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035332185","display_name":"Cheng-Ho Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Ho Wu","raw_affiliation_strings":["Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei City, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103037089","display_name":"Herng-Hua Chang","orcid":"https://orcid.org/0000-0002-5234-5794"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Herng-Hua Chang","raw_affiliation_strings":["Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, 1 Sec. 4 Roosevelt Road, Da\u2019an District, 10617, Taipei City, Taiwan","Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, 1 Sec. 4 Roosevelt Road, Da'an District, 10617, Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, 1 Sec. 4 Roosevelt Road, Da\u2019an District, 10617, Taipei City, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Computational Biomedical Engineering Laboratory (CBEL), Department of Engineering Science and Ocean Engineering, National Taiwan University, 1 Sec. 4 Roosevelt Road, Da'an District, 10617, Taipei City, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103037089"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4977,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88354838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2015","issue":"1","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":0.9986000061035156,"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":0.9972000122070312,"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/noise","display_name":"Noise (video)","score":0.7413561344146729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653419733047485},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6464545130729675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787650942802429},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.5511608719825745},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5332505106925964},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4894517958164215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47474604845046997},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.47195544838905334},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4294303059577942},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.41550809144973755},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4133349359035492},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3892252445220947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37554633617401123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30676937103271484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2710093557834625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2544599771499634}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7413561344146729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653419733047485},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6464545130729675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787650942802429},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5511608719825745},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5332505106925964},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4894517958164215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47474604845046997},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.47195544838905334},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4294303059577942},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.41550809144973755},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4133349359035492},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3892252445220947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37554633617401123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30676937103271484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2710093557834625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2544599771499634},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13640-015-0093-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0093-2","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0093-2","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s13640-015-0093-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-015-0093-2","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-015-0093-2","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3365722850","display_name":null,"funder_award_id":"MOST 10","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G3505022365","display_name":null,"funder_award_id":"MOST 104","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7863597678","display_name":null,"funder_award_id":"MOST 104-2221-E-002-095","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2175956489.pdf","grobid_xml":"https://content.openalex.org/works/W2175956489.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1580963329","https://openalex.org/W1907348056","https://openalex.org/W1973758555","https://openalex.org/W1992328824","https://openalex.org/W2009775796","https://openalex.org/W2014541137","https://openalex.org/W2020952847","https://openalex.org/W2024815539","https://openalex.org/W2035379092","https://openalex.org/W2037433740","https://openalex.org/W2042700023","https://openalex.org/W2050576652","https://openalex.org/W2058887147","https://openalex.org/W2061654302","https://openalex.org/W2067098972","https://openalex.org/W2079615115","https://openalex.org/W2087820232","https://openalex.org/W2104125540","https://openalex.org/W2108820212","https://openalex.org/W2108855378","https://openalex.org/W2112223536","https://openalex.org/W2113945798","https://openalex.org/W2120505558","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2125527601","https://openalex.org/W2127923747","https://openalex.org/W2128923930","https://openalex.org/W2145625242","https://openalex.org/W2146842127","https://openalex.org/W2149760002","https://openalex.org/W2158940042","https://openalex.org/W2160715448","https://openalex.org/W2162266621","https://openalex.org/W2539781702","https://openalex.org/W3147929628","https://openalex.org/W3217457548","https://openalex.org/W6603982171"],"related_works":["https://openalex.org/W4200047312","https://openalex.org/W1584319512","https://openalex.org/W2980586888","https://openalex.org/W2124371593","https://openalex.org/W1971932943","https://openalex.org/W2968266697","https://openalex.org/W972036175","https://openalex.org/W2370951386","https://openalex.org/W2090859501","https://openalex.org/W2118587210"],"abstract_inverted_index":{"Noise":[0],"estimation":[1,130,148],"is":[2,80,99,107,125,182,188],"fundamental":[3],"and":[4,14,73,101,177,196],"essential":[5],"in":[6,57,121,191],"a":[7,41,89,172],"wide":[8,133],"variety":[9,134],"of":[10,28,35,53,64,91,135,189],"computer":[11,193],"vision,":[12,194],"image,":[13,195],"video":[15,197],"processing":[16,198],"applications.":[17],"It":[18,181],"provides":[19,157],"an":[20],"adaptive":[21],"mechanism":[22],"for":[23,32,49],"many":[24,166,192],"restoration":[25],"algorithms":[26],"instead":[27],"using":[29],"fixed":[30],"values":[31],"the":[33,51,86,96,104,122,129,154,185],"setting":[34],"noise":[36,56,97,147,162,179],"levels.":[37,163],"This":[38],"paper":[39],"proposes":[40],"new":[42,146],"superpixel-based":[43],"framework":[44,156],"associated":[45],"with":[46,138,165],"statistical":[47,74],"analysis":[48],"estimating":[50],"variance":[52,71,98],"additive":[54],"Gaussian":[55],"digital":[58],"images.":[59],"The":[60,76,117],"proposed":[61,155,186],"approach":[62],"consists":[63],"three":[65],"major":[66],"phases:":[67],"superpixel":[68,92],"classification,":[69],"local":[70],"computation,":[72],"determination.":[75],"normalized":[77],"cut":[78],"algorithm":[79,170],"first":[81],"adopted":[82],"to":[83,109,143],"effectively":[84],"divide":[85],"image":[87],"into":[88],"set":[90],"regions,":[93],"from":[94],"which":[95],"computed":[100],"estimated.":[102],"Subsequently,":[103],"Jarque\u2013Bera":[105],"test":[106],"used":[108,142],"exclude":[110],"regions":[111,124],"that":[112,153,184,200],"are":[113],"not":[114],"normally":[115],"distributed.":[116],"smallest":[118],"standard":[119],"deviation":[120],"remaining":[123],"finally":[126],"selected":[127],"as":[128],"result.":[131],"A":[132],"noisy":[136],"images":[137],"various":[139,161],"scenarios":[140],"were":[141],"evaluate":[144],"this":[145],"algorithm.":[149],"Experimental":[150],"results":[151],"indicated":[152],"accurate":[158],"estimations":[159],"across":[160],"Comparing":[164],"state-of-the-art":[167],"methods,":[168],"our":[169],"strikes":[171],"good":[173],"compromise":[174],"between":[175],"low-level":[176],"high-level":[178],"estimations.":[180],"suggested":[183],"method":[187],"potential":[190],"applications":[199],"require":[201],"automation.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
