{"id":"https://openalex.org/W3211614031","doi":"https://doi.org/10.1109/tmm.2021.3127398","title":"No-Reference Light Field Image Quality Assessment Using Four-Dimensional Sparse Transform","display_name":"No-Reference Light Field Image Quality Assessment Using Four-Dimensional Sparse Transform","publication_year":2021,"publication_date":"2021-11-13","ids":{"openalex":"https://openalex.org/W3211614031","doi":"https://doi.org/10.1109/tmm.2021.3127398","mag":"3211614031"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3127398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3127398","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/A5043747364","display_name":"Jianjun Xiang","orcid":"https://orcid.org/0000-0002-9025-9520"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianjun Xiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-9025-9520","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073572452","display_name":"Gangyi Jiang","orcid":"https://orcid.org/0000-0003-4896-9876"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyi Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-4896-9876","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025156","display_name":"Mei Yu","orcid":"https://orcid.org/0000-0002-2140-8756"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Yu","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-2140-8756","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113940223","display_name":"Zhidi Jiang","orcid":"https://orcid.org/0000-0002-3399-7076"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhidi Jiang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-3399-7076","affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061745929","display_name":"Yo\u2010Sung Ho","orcid":"https://orcid.org/0000-0002-7220-1034"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yo-Sung Ho","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7220-1034","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043747364"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":1.9418,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.883388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"457","last_page":"472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9940999746322632,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9940000176429749,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8034789562225342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129539608955383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525696277618408},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.512052595615387},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49767783284187317},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48907142877578735},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.47419196367263794},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.45151519775390625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45073145627975464},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.42685580253601074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29145094752311707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2909287214279175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20692238211631775},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11711806058883667},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09556752443313599}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8034789562225342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129539608955383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525696277618408},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.512052595615387},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49767783284187317},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48907142877578735},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.47419196367263794},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.45151519775390625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45073145627975464},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.42685580253601074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29145094752311707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2909287214279175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20692238211631775},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11711806058883667},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09556752443313599},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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":1,"locations":[{"id":"doi:10.1109/tmm.2021.3127398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3127398","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142},{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G5194257468","display_name":null,"funder_award_id":"62071266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5534660064","display_name":null,"funder_award_id":"61671258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161485187","display_name":null,"funder_award_id":"U1301257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6770855697","display_name":null,"funder_award_id":"61871247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8311167460","display_name":null,"funder_award_id":"61931022","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":51,"referenced_works":["https://openalex.org/W1585668122","https://openalex.org/W1964357740","https://openalex.org/W1977725648","https://openalex.org/W1982471090","https://openalex.org/W2009763810","https://openalex.org/W2046119925","https://openalex.org/W2059823394","https://openalex.org/W2102166818","https://openalex.org/W2102817897","https://openalex.org/W2105557003","https://openalex.org/W2109654411","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2162692770","https://openalex.org/W2293834858","https://openalex.org/W2303076655","https://openalex.org/W2368744241","https://openalex.org/W2591697814","https://openalex.org/W2608225500","https://openalex.org/W2621165345","https://openalex.org/W2750972358","https://openalex.org/W2753630964","https://openalex.org/W2783178946","https://openalex.org/W2793997248","https://openalex.org/W2890447646","https://openalex.org/W2890879384","https://openalex.org/W2892336178","https://openalex.org/W2900283321","https://openalex.org/W2913802273","https://openalex.org/W2914520675","https://openalex.org/W2914600502","https://openalex.org/W2917422005","https://openalex.org/W2942828508","https://openalex.org/W2967806312","https://openalex.org/W2968577646","https://openalex.org/W2970662026","https://openalex.org/W2972919179","https://openalex.org/W2979303786","https://openalex.org/W2979618460","https://openalex.org/W2989706911","https://openalex.org/W2991236921","https://openalex.org/W2999031978","https://openalex.org/W3005391776","https://openalex.org/W3008141732","https://openalex.org/W3013236756","https://openalex.org/W3023496898","https://openalex.org/W3034233186","https://openalex.org/W3043360221","https://openalex.org/W3088900668","https://openalex.org/W6634891648","https://openalex.org/W6704184719"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2127787376","https://openalex.org/W2534655758"],"abstract_inverted_index":{"Light":[0,18],"field":[1,19],"imaging":[2],"can":[3,97],"simultaneously":[4],"capture":[5],"the":[6,15,31,41,99,107,111,114,125,129,137,146,154,158,163,167,175,179,195,199,206,210,218,225,234],"intensity":[7],"and":[8,36,101,141,145,187,240],"direction":[9],"information":[10,103],"of":[11,33,44,95,104,110,117,132,157,170,182,209],"light":[12],"rays":[13],"in":[14,30],"real":[16],"world.":[17],"image":[20,66,236],"(LFI)":[21],"with":[22,87,189,224,233],"four-dimensional":[23],"(4D)":[24],"data":[25],"suffers":[26],"from":[27],"quality":[28,43,54,208,237,242],"degradation":[29],"process":[32],"compression,":[34],"reconstruction":[35],"processing.":[37],"How":[38],"to":[39,193,204],"evaluate":[40],"visual":[42,207],"LFI":[45,53,230,241],"is":[46,70,75,85,221],"thought-provoking.":[47],"This":[48],"paper":[49],"proposes":[50],"a":[51,72],"no-reference":[52],"assessment":[55,238,243],"metric":[56],"based":[57],"on":[58,228],"high-dimensional":[59],"sparse":[60],"transform.":[61],"Firstly,":[62],"LFI's":[63],"sub-aperture":[64],"gradient":[65],"array":[67],"(SAGIA),":[68],"which":[69],"still":[71],"4D":[73,88,120],"signal,":[74],"generated":[76],"by":[77,152,174],"high-pass":[78],"filtering":[79],"between":[80],"adjacent":[81],"SAIs.":[82],"Then,":[83,178],"SAGIA":[84,96,133],"transformed":[86,119],"discrete":[89],"cosine":[90],"transform":[91],"(4D-DCT).":[92],"4D-DCT":[93,130],"coefficients":[94,112,131],"characterize":[98],"angular":[100],"spatial":[102],"LFI.":[105],"And":[106],"logarithmic":[108],"amplitudes":[109,165],"at":[113,166],"same":[115,159,168],"position":[116,169,184],"SAGIA?s":[118],"blocks":[121,171],"are":[122,134,150,172,185,202],"averaged":[123],"as":[124],"coefficient":[126,155],"energy.":[127],"Subsequently,":[128],"divided":[135],"into":[136],"spatial-angular":[138,142],"frequency":[139],"bands":[140],"orientation":[143],"bands,":[144],"corresponding":[147],"energy":[148,156],"features":[149,201],"extracted":[151,200],"converging":[153],"band.":[160],"In":[161],"addition,":[162],"coefficients'":[164],"fitted":[173,180],"Weibull":[176],"distribution.":[177],"parameters":[181],"each":[183],"concatenated,":[186],"cropped":[188],"principal":[190],"component":[191],"analysis":[192],"obtain":[194],"compact":[196],"features.":[197],"Finally,":[198],"pooled":[203],"predict":[205],"distorted":[211],"LFIs.":[212],"The":[213],"experimental":[214],"results":[215],"demonstrate":[216],"that":[217],"proposed":[219],"method":[220],"more":[222],"consistent":[223],"subjective":[226],"evaluation":[227],"three":[229],"databases,":[231],"compared":[232],"state-of-the-art":[235],"methods":[239],"methods.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
