{"id":"https://openalex.org/W4413925600","doi":"https://doi.org/10.1109/tmm.2025.3604973","title":"Transferring From Distortion to Perception-Oriented Optimization: Just-Noticeable-Distortion-Based Domain Adaptation","display_name":"Transferring From Distortion to Perception-Oriented Optimization: Just-Noticeable-Distortion-Based Domain Adaptation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413925600","doi":"https://doi.org/10.1109/tmm.2025.3604973"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3604973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3604973","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/A5082089319","display_name":"Xuelin Shen","orcid":"https://orcid.org/0000-0002-0877-7143"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelin Shen","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-0877-7143","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113405483","display_name":"Haoqiao Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqiao Ou","raw_affiliation_strings":["Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0006-5515-0833","affiliations":[{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032273272","display_name":"Zhangkai Ni","orcid":"https://orcid.org/0000-0003-3682-6288"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangkai Ni","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing (Ministry of Education), School of Computer Science and Technology, Tongji University, Shanghai, China","School of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing (Ministry of Education), Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3682-6288","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing (Ministry of Education), School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"School of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing (Ministry of Education), Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Tuen Mun, Hong Kong","School of Data Science, Lingnan University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Tuen Mun, Hong Kong","institution_ids":[]},{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11558143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"8199","last_page":"8211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.819599986076355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.819599986076355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.791700005531311,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/distortion","display_name":"Distortion (music)","score":0.7682927846908569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395122647285461},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5294254422187805},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.457369863986969},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4271199405193329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3088388442993164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20250311493873596},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09673610329627991},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.07512888312339783}],"concepts":[{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7682927846908569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395122647285461},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5294254422187805},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.457369863986969},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4271199405193329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3088388442993164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20250311493873596},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09673610329627991},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.07512888312339783},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3604973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3604973","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":[],"awards":[{"id":"https://openalex.org/G1060919750","display_name":null,"funder_award_id":"2024A1515010454","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1978598038","https://openalex.org/W1982471090","https://openalex.org/W1991221331","https://openalex.org/W2055745001","https://openalex.org/W2087366239","https://openalex.org/W2102166818","https://openalex.org/W2114415799","https://openalex.org/W2117539524","https://openalex.org/W2133665775","https://openalex.org/W2136477141","https://openalex.org/W2155655721","https://openalex.org/W2194775991","https://openalex.org/W2242218935","https://openalex.org/W2404847069","https://openalex.org/W2511913942","https://openalex.org/W2520930090","https://openalex.org/W2565312867","https://openalex.org/W2575940230","https://openalex.org/W2581531361","https://openalex.org/W2598684819","https://openalex.org/W2612410279","https://openalex.org/W2739757502","https://openalex.org/W2768814045","https://openalex.org/W2783903549","https://openalex.org/W2866634454","https://openalex.org/W2898677683","https://openalex.org/W2950689937","https://openalex.org/W2952773607","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2964101377","https://openalex.org/W2968674715","https://openalex.org/W2987150909","https://openalex.org/W3034469748","https://openalex.org/W3035593364","https://openalex.org/W3091266734","https://openalex.org/W3095429212","https://openalex.org/W3112093607","https://openalex.org/W3113009928","https://openalex.org/W3116647679","https://openalex.org/W3159346357","https://openalex.org/W3175457126","https://openalex.org/W3189792606","https://openalex.org/W3197175515","https://openalex.org/W3200663333","https://openalex.org/W3202918664","https://openalex.org/W3206996732","https://openalex.org/W4210825863","https://openalex.org/W4283817357","https://openalex.org/W4383503849","https://openalex.org/W4386075611","https://openalex.org/W4386275599","https://openalex.org/W4402915812"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2628861693","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W4394775207"],"abstract_inverted_index":{"The":[0],"<italic":[1,14,32,52,57,66,119],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[2,15,33,53,58,67,120,254],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">perception-distortion-":[3],"tradeoff</i>":[4],"reveals":[5],"the":[6,27,51,65,72,81,87,96,102,106,114,127,144,170,192,198,204,213,242,245],"limitation":[7],"of":[8,29,165,218,244],"current":[9],"low-level":[10,136,219],"deep":[11],"learning":[12,137],"paradigms,":[13],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>,":[16],"minimizing":[17],"reconstruction":[18],"distortion":[19,97,107],"does":[20],"not":[21],"guarantee":[22],"improved":[23,118],"perceptual":[24,47,239],"quality.":[25],"Acknowledging":[26],"lack":[28],"a":[30,42,163,184],"reliable":[31],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">perception</i>-oriented":[34],"optimization":[35,88,130],"function,":[36],"we":[37,63,139],"are":[38,140],"motivated":[39,141],"to":[40,55,93,126,133,142],"explore":[41],"flexible":[43],"approach":[44],"for":[45,212],"enhancing":[46],"quality":[48],"by":[49,70,101,162],"steering":[50],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">tradeoff</i>":[54],"prioritize":[56],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">perception</i>.":[59],"To":[60],"this":[61],"end,":[62],"reconsider":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">perception-distortion</i>":[68],"function":[69],"incorporating":[71],"Just-Noticeable-Distortion":[73],"(JND)":[74],"mechanism.":[75],"We":[76],"mathematically":[77],"demonstrate":[78],"that":[79,111],"in":[80,197,238],"common":[82],"image":[83,149,225,229],"restoration":[84],"process,":[85],"altering":[86],"target":[89],"from":[90,113,180],"natural":[91,155],"images":[92,156,207],"distorted":[94],"images\u2014where":[95],"intensity":[98],"is":[99,189,250],"constrained":[100],"JND":[103,148,172,186,206],"threshold":[104],"and":[105,157,195,227],"type":[108],"aligns":[109],"with":[110],"arising":[112],"restorer":[115,128],"itself\u2014effectively":[116],"obtained":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">perception</i>":[121],"indices":[122],"without":[123],"any":[124],"changes":[125],"or":[129,215],"function.":[131],"Accordingly,":[132],"facilitate":[134],"various":[135],"models,":[138],"construct":[143],"first":[145],"large-scale":[146],"CNN-oriented":[147],"dataset.":[150],"Our":[151,248],"dataset":[152,194,249],"comprises":[153],"500":[154],"4,500":[158],"degraded":[159],"versions":[160],"generated":[161],"series":[164],"autoencoders,":[166],"as":[167,169,209],"well":[168],"actual":[171],"judgment":[173],"results":[174],"collected":[175],"through":[176],"rigorous":[177],"subjective":[178],"testing":[179],"twenty":[181],"volunteers.":[182],"Finally,":[183],"learning-based":[185],"inference":[187],"model":[188],"established":[190],"on":[191,224],"proposed":[193,199,246],"employed":[196],"JND-based":[200],"adaptation":[201],"scheme,":[202],"where":[203],"inferred":[205],"serve":[208],"pseudo-ground":[210],"truth":[211],"training":[214],"fine-tuning":[216],"processes":[217],"vision":[220],"models.":[221],"Extensive":[222],"experiments":[223],"super-resolution":[226],"end-to-end":[228],"compression":[230],"across":[231],"multiple":[232],"models":[233],"have":[234],"shown":[235],"encouraging":[236],"improvements":[237],"quality,":[240],"demonstrating":[241],"effectiveness":[243],"scheme.":[247],"available":[251],"at:":[252],"<uri":[253],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ohq17/CNN-Oriented-JND-Dataset</uri>.":[255]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
