{"id":"https://openalex.org/W2765614776","doi":"https://doi.org/10.1109/icassp.2018.8462294","title":"Statistical Evaluation of Visual Quality Metrics for Image Denoising","display_name":"Statistical Evaluation of Visual Quality Metrics for Image Denoising","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2765614776","doi":"https://doi.org/10.1109/icassp.2018.8462294","mag":"2765614776"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.00693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","raw_affiliation_strings":["Laboratory of Signal Processing, Tampere University of Technology, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mykola Ponomarenko","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mykola Ponomarenko","raw_affiliation_strings":["Laboratory of Signal Processing, Tampere University of Technology, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Signal Processing, Tampere University of Technology, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":["Department of Signal Transmitting, National Aerospace University, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Transmitting, National Aerospace University, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076755558","display_name":"Oleg Ieremeiem","orcid":null},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleg Ieremeiev","raw_affiliation_strings":["Department of Signal Transmitting, National Aerospace University, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Transmitting, National Aerospace University, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6752","last_page":"6756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9990000128746033,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7158290147781372},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6417208313941956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655841827392578},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.559127151966095},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5255478620529175},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.521406888961792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5138083100318909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.512901782989502},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5053535103797913},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4806146025657654},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4718886613845825},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.4462597370147705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3750450611114502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36924490332603455},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2926000654697418},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.21428701281547546}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7158290147781372},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6417208313941956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655841827392578},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.559127151966095},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5255478620529175},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.521406888961792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5138083100318909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.512901782989502},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5053535103797913},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4806146025657654},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4718886613845825},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.4462597370147705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3750450611114502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36924490332603455},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2926000654697418},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.21428701281547546},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2018.8462294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.00693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.00693","pdf_url":"https://arxiv.org/pdf/1711.00693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2765614776","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1711.00693.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1711.00693","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.00693","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.00693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.00693","pdf_url":"https://arxiv.org/pdf/1711.00693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W93128254","https://openalex.org/W1580389772","https://openalex.org/W1682621203","https://openalex.org/W1964859077","https://openalex.org/W1972006393","https://openalex.org/W1974013408","https://openalex.org/W2005001434","https://openalex.org/W2056370875","https://openalex.org/W2115370533","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2152059677","https://openalex.org/W2152773182","https://openalex.org/W2315567505","https://openalex.org/W2508457857","https://openalex.org/W2622470254","https://openalex.org/W2626610348","https://openalex.org/W2793762903","https://openalex.org/W6603783060","https://openalex.org/W6637605823","https://openalex.org/W6659009441","https://openalex.org/W6677292571","https://openalex.org/W6682469343","https://openalex.org/W6738991188"],"related_works":["https://openalex.org/W2963932574","https://openalex.org/W2160095396","https://openalex.org/W2770961662","https://openalex.org/W1986808314","https://openalex.org/W2372290058","https://openalex.org/W2592262935","https://openalex.org/W2136810081","https://openalex.org/W2045430211","https://openalex.org/W2104768598","https://openalex.org/W2377575459","https://openalex.org/W2111119043","https://openalex.org/W2600592667","https://openalex.org/W2094770547","https://openalex.org/W3117864184","https://openalex.org/W2405106204","https://openalex.org/W2093162582","https://openalex.org/W2117804578","https://openalex.org/W2529544471","https://openalex.org/W2121776280","https://openalex.org/W2005188790"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,73,98,108,119],"problem":[4],"of":[5,11,27,80,85,95,110,141,179],"full":[6,112],"reference":[7,61,113],"visual":[8,145,160,180,195],"quality":[9,93,114,146,161,181,196],"assessment":[10,94,178],"denoised":[12,71],"images":[13,19,29,52,57],"with":[14,20,31,76,107],"a":[15,91,117,132,158],"special":[16],"emphasis":[17],"on":[18],"low":[21],"contrast":[22],"and":[23,53,105,129,137,148],"noise-like":[24],"texture.":[25],"Denoising":[26],"such":[28],"together":[30],"noise":[32,86],"removal":[33],"often":[34],"results":[35],"in":[36,164],"image":[37,45,144,183,194,199],"details":[38],"loss":[39],"or":[40],"smoothing.":[41],"A":[42],"new":[43,159,193],"test":[44],"database,":[46],"FLT,":[47],"containing":[48],"75":[49],"noise-free":[50],"`reference'":[51],"300":[54],"filtered":[55],"(`distorted')":[56],"is":[58,70,155,170],"developed.":[59],"Each":[60],"image,":[62],"corrupted":[63],"by":[64,72,157],"an":[65],"additive":[66],"white":[67],"Gaussian":[68],"noise,":[69],"BM3D":[74],"filter":[75],"four":[77],"different":[78],"values":[79,109,128,140],"threshold":[81],"parameter":[82],"(four":[83],"levels":[84],"suppression).":[87],"After":[88],"carrying":[89],"out":[90],"perceptual":[92],"distorted":[96],"images,":[97],"mean":[99],"opinion":[100],"scores":[101],"(MOS)":[102],"are":[103],"obtained":[104],"compared":[106],"known":[111,142],"metrics.":[115],"As":[116],"result,":[118],"Spearman":[120],"Rank":[121],"Order":[122],"Correlation":[123],"Coefficient":[124],"(SROCC)":[125],"between":[126,139],"PSNR":[127],"MOS":[130,149],"has":[131],"value":[133],"close":[134],"to":[135,191],"zero,":[136],"SROCC":[138],"full-reference":[143],"metrics":[147,197],"does":[150],"not":[151],"exceed":[152],"0.82":[153],"(which":[154],"reached":[156],"metric":[162],"proposed":[163],"this":[165],"paper).":[166],"The":[167],"FLT":[168],"dataset":[169],"more":[171],"complex":[172],"than":[173],"earlier":[174],"datasets":[175],"used":[176,190],"for":[177,182,198],"denoising.":[184,200],"Thus,":[185],"it":[186],"can":[187],"be":[188],"effectively":[189],"design":[192]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}