{"id":"https://openalex.org/W4323022514","doi":"https://doi.org/10.1109/access.2023.3250616","title":"A Comprehensive Review of Deep Learning-Based Real-World Image Restoration","display_name":"A Comprehensive Review of Deep Learning-Based Real-World Image Restoration","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4323022514","doi":"https://doi.org/10.1109/access.2023.3250616"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3250616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3250616","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10056934.pdf","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":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10056934.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008325478","display_name":"Lujun Zhai","orcid":"https://orcid.org/0009-0003-6187-027X"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lujun Zhai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA","Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA","institution_ids":["https://openalex.org/I250520410"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319205","display_name":"Yonghui Wang","orcid":"https://orcid.org/0000-0003-4334-0921"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yonghui Wang","raw_affiliation_strings":["Department of Computer Science, Prairie View A&M University, Prairie View, TX, USA","Computer Science Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States"],"raw_orcid":"https://orcid.org/0000-0003-4334-0921","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Prairie View A&M University, Prairie View, TX, USA","institution_ids":["https://openalex.org/I250520410"]},{"raw_affiliation_string":"Computer Science Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005118558","display_name":"Suxia Cui","orcid":"https://orcid.org/0000-0003-1152-3272"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suxia Cui","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA","Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States"],"raw_orcid":"https://orcid.org/0000-0003-1152-3272","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Prairie View A&M University, Prairie View, TX, USA","institution_ids":["https://openalex.org/I250520410"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668302","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0001-9784-141X"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]},{"id":"https://openalex.org/I4210160948","display_name":"Carbon Solutions (United States)","ror":"https://ror.org/04rxtvg30","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["CSAT Solutions LP, Houston, TX, USA","Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States"],"raw_orcid":"https://orcid.org/0000-0001-9784-141X","affiliations":[{"raw_affiliation_string":"CSAT Solutions LP, Houston, TX, USA","institution_ids":["https://openalex.org/I4210160948"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Prairie View A&M University, 100 University Dr, Prairie View, TX, United States","institution_ids":["https://openalex.org/I250520410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008325478"],"corresponding_institution_ids":["https://openalex.org/I250520410"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.0068,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":{"value":0.98334682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"21049","last_page":"21067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7925746440887451},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.7534404397010803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7211118936538696},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6625670790672302},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6345364451408386},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.43950796127319336},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4351191520690918},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43194615840911865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41280823945999146},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40883976221084595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3939764201641083},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38537466526031494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35897231101989746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925746440887451},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7534404397010803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7211118936538696},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6625670790672302},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6345364451408386},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.43950796127319336},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4351191520690918},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43194615840911865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41280823945999146},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40883976221084595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3939764201641083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38537466526031494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35897231101989746},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3250616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3250616","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10056934.pdf","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:15ef1d765ac24bc7846f84d42dd546a2","is_oa":true,"landing_page_url":"https://doaj.org/article/15ef1d765ac24bc7846f84d42dd546a2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 21049-21067 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3250616","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3250616","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10056934.pdf","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":[{"id":"https://metadata.un.org/sdg/11","score":0.6499999761581421,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1685028460","display_name":"CC* Network Design: Improve Network on Campus for Research and Education in Agriculture, Science, and Engineering at Prairie View A&M University","funder_award_id":"1827243","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5641559657","display_name":null,"funder_award_id":"P120A180114","funder_id":"https://openalex.org/F4320306106","funder_display_name":"U.S. Department of Education"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306106","display_name":"U.S. Department of Education","ror":"https://ror.org/021adze67"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323022514.pdf","grobid_xml":"https://content.openalex.org/works/W4323022514.grobid-xml"},"referenced_works_count":179,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1834627138","https://openalex.org/W1861492603","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W1986266272","https://openalex.org/W2009272644","https://openalex.org/W2037227137","https://openalex.org/W2044810215","https://openalex.org/W2047920195","https://openalex.org/W2081418206","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2110158442","https://openalex.org/W2121058967","https://openalex.org/W2125389028","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2142884912","https://openalex.org/W2145105988","https://openalex.org/W2146103513","https://openalex.org/W2150081556","https://openalex.org/W2152059677","https://openalex.org/W2167191464","https://openalex.org/W2181646778","https://openalex.org/W2194775991","https://openalex.org/W2293894573","https://openalex.org/W2466666260","https://openalex.org/W2474516010","https://openalex.org/W2508457857","https://openalex.org/W2508509730","https://openalex.org/W2549139847","https://openalex.org/W2559264300","https://openalex.org/W2560533888","https://openalex.org/W2565312867","https://openalex.org/W2574577332","https://openalex.org/W2601564443","https://openalex.org/W2607041014","https://openalex.org/W2607202125","https://openalex.org/W2738579427","https://openalex.org/W2740982616","https://openalex.org/W2741137940","https://openalex.org/W2752646460","https://openalex.org/W2771986438","https://openalex.org/W2792829624","https://openalex.org/W2795722336","https://openalex.org/W2799192307","https://openalex.org/W2799265886","https://openalex.org/W2866634454","https://openalex.org/W2884068670","https://openalex.org/W2891690292","https://openalex.org/W2899663614","https://openalex.org/W2904538306","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2932253358","https://openalex.org/W2941803858","https://openalex.org/W2943960148","https://openalex.org/W2950689937","https://openalex.org/W2952773607","https://openalex.org/W2953823547","https://openalex.org/W2962767526","https://openalex.org/W2962782447","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962814024","https://openalex.org/W2962903125","https://openalex.org/W2963312584","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963571608","https://openalex.org/W2963743395","https://openalex.org/W2963800716","https://openalex.org/W2963928582","https://openalex.org/W2964267765","https://openalex.org/W2966516593","https://openalex.org/W2967709485","https://openalex.org/W2970360808","https://openalex.org/W2971292464","https://openalex.org/W2981718299","https://openalex.org/W2981720610","https://openalex.org/W2982041717","https://openalex.org/W2982795046","https://openalex.org/W2983315964","https://openalex.org/W2985321619","https://openalex.org/W2988641380","https://openalex.org/W2990176100","https://openalex.org/W2991017102","https://openalex.org/W2996750022","https://openalex.org/W2997508111","https://openalex.org/W2997763120","https://openalex.org/W2998249728","https://openalex.org/W3000775737","https://openalex.org/W3002242183","https://openalex.org/W3011456574","https://openalex.org/W3012322483","https://openalex.org/W3013170474","https://openalex.org/W3021850033","https://openalex.org/W3028365735","https://openalex.org/W3034259513","https://openalex.org/W3034359211","https://openalex.org/W3034531178","https://openalex.org/W3034564595","https://openalex.org/W3034789174","https://openalex.org/W3035542568","https://openalex.org/W3035601380","https://openalex.org/W3083579885","https://openalex.org/W3085824656","https://openalex.org/W3094797876","https://openalex.org/W3096831136","https://openalex.org/W3099686304","https://openalex.org/W3106758205","https://openalex.org/W3106850582","https://openalex.org/W3107811908","https://openalex.org/W3109494165","https://openalex.org/W3121661546","https://openalex.org/W3138516171","https://openalex.org/W3145752657","https://openalex.org/W3167568784","https://openalex.org/W3168684807","https://openalex.org/W3169612303","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3174750044","https://openalex.org/W3176096490","https://openalex.org/W3176622443","https://openalex.org/W3177370829","https://openalex.org/W3178192988","https://openalex.org/W3182000414","https://openalex.org/W3195766574","https://openalex.org/W3202040256","https://openalex.org/W3202362072","https://openalex.org/W3203631022","https://openalex.org/W3207673409","https://openalex.org/W3207918547","https://openalex.org/W3208624098","https://openalex.org/W3216759837","https://openalex.org/W4206075922","https://openalex.org/W4213258406","https://openalex.org/W4214577770","https://openalex.org/W4221125927","https://openalex.org/W4225131936","https://openalex.org/W4225672218","https://openalex.org/W4288408961","https://openalex.org/W4289752563","https://openalex.org/W4292793946","https://openalex.org/W4293253587","https://openalex.org/W4308234118","https://openalex.org/W4312373367","https://openalex.org/W4312678820","https://openalex.org/W4312766126","https://openalex.org/W4312812783","https://openalex.org/W4312908055","https://openalex.org/W4312938066","https://openalex.org/W4327808545","https://openalex.org/W4385245566","https://openalex.org/W4386083034","https://openalex.org/W6637373629","https://openalex.org/W6678815747","https://openalex.org/W6680683657","https://openalex.org/W6686821501","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6749894445","https://openalex.org/W6755977528","https://openalex.org/W6772165286","https://openalex.org/W6784094891","https://openalex.org/W6795140394","https://openalex.org/W6796417832","https://openalex.org/W6796568838","https://openalex.org/W6796698253","https://openalex.org/W6810083443","https://openalex.org/W6838529300","https://openalex.org/W6840503338","https://openalex.org/W6842269250"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4220843223","https://openalex.org/W2801208768"],"abstract_inverted_index":{"Real-world":[0],"imagery":[1],"does":[2],"not":[3],"always":[4],"exhibit":[5],"good":[6],"visibility":[7],"and":[8,38,89,105,127,137,160,176,179],"clean":[9],"content,":[10],"but":[11],"often":[12],"suffers":[13],"from":[14,46],"various":[15],"kinds":[16],"of":[17,51,59,84,97,109,142],"degradations":[18],"(e.g.,":[19,33],"noise,":[20],"blur,":[21],"rain":[22],"drops,":[23],"fog,":[24],"color":[25],"distortion,":[26],"etc.),":[27],"which":[28],"severely":[29],"affect":[30],"vision-driven":[31],"tasks":[32],"image":[34,62,86,101,112,154,165],"classification,":[35],"target":[36],"recognition,":[37],"tracking,":[39],"etc.).":[40],"Thus,":[41],"restoring":[42],"the":[43,70,134,151,167],"true":[44],"scene":[45],"such":[47],"degraded":[48],"images":[49],"is":[50],"significance.":[52],"In":[53],"recent":[54],"years,":[55],"a":[56,81],"large":[57],"body":[58],"deep":[60,73,110],"learning-based":[61,111],"processing":[63],"works":[64],"has":[65],"been":[66],"exploited":[67],"due":[68],"to":[69,79,145],"advances":[71,138],"in":[72,139],"neural":[74,119],"networks.":[75],"This":[76],"paper":[77,132],"aims":[78],"make":[80],"comprehensive":[82],"review":[83,94],"real-world":[85,164],"restoration":[87,113,155],"algorithms":[88],"beyond.":[90],"More":[91],"specifically,":[92],"this":[93],"provides":[95],"overviews":[96],"critical":[98],"benchmark":[99],"datasets,":[100],"quality":[102],"assessment":[103],"methods,":[104,114],"four":[106],"major":[107],"categories":[108],"i.e.,":[115],"based":[116],"on":[117],"convolutional":[118],"network":[120,124,143],"(CNN),":[121],"generative":[122],"adversarial":[123],"(GAN),":[125],"Transformer,":[126],"multi-layer":[128],"perceptron":[129],"(MLP).":[130],"The":[131],"highlights":[133],"latest":[135],"developments":[136],"each":[140],"category":[141],"architecture":[144],"provide":[146],"an":[147],"up-to-date":[148],"overview.":[149],"Moreover,":[150],"representative":[152],"state-of-the-art":[153],"methods":[156],"are":[157,170,174,181],"compared":[158],"visually":[159],"numerically.":[161],"Finally,":[162],"for":[163],"restoration,":[166],"current":[168],"situations":[169],"objectively":[171],"assessed,":[172],"challenges":[173],"discussed,":[175],"future":[177],"directions":[178],"trends":[180],"presented.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":37},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}