{"id":"https://openalex.org/W2765520866","doi":"https://doi.org/10.1109/access.2017.2764126","title":"No-Reference Quality Assessment of Noise-Distorted Images Based on Frequency Mapping","display_name":"No-Reference Quality Assessment of Noise-Distorted Images Based on Frequency Mapping","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765520866","doi":"https://doi.org/10.1109/access.2017.2764126","mag":"2765520866"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2764126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2764126","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2764126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005906594","display_name":"Guangyi Yang","orcid":"https://orcid.org/0000-0002-1580-0188"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1580-0188","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002061412","display_name":"Yue Liao","orcid":"https://orcid.org/0000-0002-2671-0655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liao","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013748549","display_name":"Qingyi Zhang","orcid":"https://orcid.org/0000-0002-7750-4616"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyi Zhang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057131605","display_name":"Deshi Li","orcid":"https://orcid.org/0000-0002-8188-9379"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deshi Li","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9019,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83938413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"23146","last_page":"23156"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958000183105469,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9933000206947327,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8056159615516663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7131175994873047},{"id":"https://openalex.org/keywords/riesz-transform","display_name":"Riesz transform","score":0.6575828790664673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6235911250114441},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5906844139099121},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5553216934204102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521175861358643},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5484798550605774},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.522112250328064},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5054023265838623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46467310190200806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44527536630630493},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.421139121055603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40716350078582764}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8056159615516663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7131175994873047},{"id":"https://openalex.org/C82997116","wikidata":"https://www.wikidata.org/wiki/Q7333169","display_name":"Riesz transform","level":2,"score":0.6575828790664673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6235911250114441},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5906844139099121},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5553216934204102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521175861358643},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5484798550605774},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.522112250328064},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5054023265838623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46467310190200806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44527536630630493},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.421139121055603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40716350078582764},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2764126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2764126","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2724c7f706b49a2843a10636ff8d11b","is_oa":true,"landing_page_url":"https://doaj.org/article/d2724c7f706b49a2843a10636ff8d11b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 23146-23156 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2764126","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2764126","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2464116579","display_name":null,"funder_award_id":"61571334","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":70,"referenced_works":["https://openalex.org/W175799823","https://openalex.org/W289976167","https://openalex.org/W1485781512","https://openalex.org/W1562683879","https://openalex.org/W1580389772","https://openalex.org/W1964859077","https://openalex.org/W1971155098","https://openalex.org/W1973175507","https://openalex.org/W1974013408","https://openalex.org/W1976836781","https://openalex.org/W1977725648","https://openalex.org/W1979451680","https://openalex.org/W1987489060","https://openalex.org/W1992081487","https://openalex.org/W1992869494","https://openalex.org/W1995457995","https://openalex.org/W1996275329","https://openalex.org/W2005664438","https://openalex.org/W2007221293","https://openalex.org/W2013422999","https://openalex.org/W2035713052","https://openalex.org/W2037237513","https://openalex.org/W2060131032","https://openalex.org/W2061513831","https://openalex.org/W2066030556","https://openalex.org/W2067921844","https://openalex.org/W2068403421","https://openalex.org/W2075224480","https://openalex.org/W2085448797","https://openalex.org/W2085518012","https://openalex.org/W2086708275","https://openalex.org/W2089190525","https://openalex.org/W2098395403","https://openalex.org/W2102166818","https://openalex.org/W2109754173","https://openalex.org/W2111119043","https://openalex.org/W2111419080","https://openalex.org/W2117535912","https://openalex.org/W2122470043","https://openalex.org/W2129644086","https://openalex.org/W2133665775","https://openalex.org/W2134963900","https://openalex.org/W2138088051","https://openalex.org/W2141983208","https://openalex.org/W2142731874","https://openalex.org/W2158564760","https://openalex.org/W2161907179","https://openalex.org/W2162692770","https://openalex.org/W2162915697","https://openalex.org/W2168078737","https://openalex.org/W2168397407","https://openalex.org/W2171349048","https://openalex.org/W2249368460","https://openalex.org/W2316248200","https://openalex.org/W2319957123","https://openalex.org/W2323509952","https://openalex.org/W2332181254","https://openalex.org/W2478241477","https://openalex.org/W2515731430","https://openalex.org/W2516567676","https://openalex.org/W2521359813","https://openalex.org/W2581964350","https://openalex.org/W2588998993","https://openalex.org/W2963918210","https://openalex.org/W3182211633","https://openalex.org/W4211253871","https://openalex.org/W4243878495","https://openalex.org/W6647225686","https://openalex.org/W6667535573","https://openalex.org/W6726003393"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2077896037"],"abstract_inverted_index":{"In":[0],"this":[1,74],"paper,":[2],"we":[3,25,72,90,115],"propose":[4],"a":[5],"no-reference":[6],"image":[7,28,104,108,139,151],"quality":[8,152],"assessment":[9,144],"(IQA)":[10],"metric":[11],"for":[12],"noise-distorted":[13,70,138],"images":[14],"specifically":[15],"based":[16],"on":[17,52,127],"frequency":[18],"mapping":[19],"(FM),":[20],"namely,":[21],"FMIQA":[22,135],"index.":[23,124],"First,":[24],"decompose":[26],"the":[27,48,53,60,69,86,92,96,102,106,111,122,133,137],"into":[29],"intrinsic":[30],"mode":[31,43],"functions":[32],"(IMFs)":[33],"from":[34,101],"small":[35],"to":[36,84,109,120],"large":[37],"scale":[38],"by":[39,55],"using":[40],"bidimensional":[41],"empirical":[42],"decomposition":[44],"(BEMD),":[45],"and":[46,64,105,145],"perform":[47],"local":[49],"feature":[50,99],"analysis":[51],"IMFs":[54],"Riesz":[56,65,97],"transform.":[57],"Considering":[58],"that":[59,132],"combination":[61],"of":[62,79,95],"BEMD":[63],"transform":[66,98],"can":[67,146],"denoise":[68],"image,":[71],"use":[73],"method":[75],"with":[76,142],"appropriate":[77],"application":[78],"visual":[80],"contrast":[81],"sensitivity":[82],"function":[83],"get":[85],"denoised":[87,107],"image.":[88],"Then":[89],"calculate":[91],"similarity":[93,112,118],"map":[94],"maps":[100],"distorted":[103],"obtain":[110,121,147],"indices.":[113],"Finally,":[114],"combine":[116],"these":[117],"indices":[119],"final":[123],"Experimental":[125],"results":[126],"three":[128],"public":[129],"databases":[130],"show":[131],"proposed":[134],"evaluates":[136],"in":[140,150],"consistency":[141],"subjective":[143],"better":[148],"performance":[149],"prediction":[153],"than":[154],"other":[155],"existing":[156],"related":[157],"methods.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}