{"id":"https://openalex.org/W4417508737","doi":"https://doi.org/10.1109/tpami.2025.3646223","title":"Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images","display_name":"Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W4417508737","doi":"https://doi.org/10.1109/tpami.2025.3646223","pmid":"https://pubmed.ncbi.nlm.nih.gov/41418003"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3646223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3646223","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081482765","display_name":"Qunliang Xing","orcid":"https://orcid.org/0000-0002-3007-716X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunliang Xing","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3007-716X","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582578","display_name":"Ce Zheng","orcid":"https://orcid.org/0009-0001-3140-6236"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zheng","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-3140-6236","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0277-3301","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Yang","orcid":"https://orcid.org/0009-0006-4560-6227"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-4560-6227","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxi Li","raw_affiliation_strings":["School of Electronic Information Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4979-9290","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36253142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"4","first_page":"4692","last_page":"4707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.8924000263214111,"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/T11019","display_name":"Image Enhancement Techniques","score":0.8924000263214111,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.07490000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0210999995470047,"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/image-quality","display_name":"Image quality","score":0.6614000201225281},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.551800012588501},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4643000066280365},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.43939998745918274},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4350999891757965},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4113999903202057},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.3968000113964081},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3912000060081482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849000096321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7067000269889832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6622999906539917},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6614000201225281},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.43939998745918274},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4113999903202057},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3912000060081482},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3271999955177307},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.3172999918460846},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2969000041484833},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.2583000063896179}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3646223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3646223","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41418003","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41418003","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3864562958","display_name":null,"funder_award_id":"62450131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4277908722","display_name":null,"funder_award_id":"62401027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4414130214","display_name":null,"funder_award_id":"62206011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6069380152","display_name":null,"funder_award_id":"L223021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6127711580","display_name":null,"funder_award_id":"62231002","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1767166546","https://openalex.org/W2009135290","https://openalex.org/W2017801928","https://openalex.org/W2018942646","https://openalex.org/W2029098067","https://openalex.org/W2040414369","https://openalex.org/W2063984674","https://openalex.org/W2103935197","https://openalex.org/W2115907784","https://openalex.org/W2117535912","https://openalex.org/W2123113293","https://openalex.org/W2133665775","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2142683286","https://openalex.org/W2144714064","https://openalex.org/W2146395539","https://openalex.org/W2152281536","https://openalex.org/W2194775991","https://openalex.org/W2466611277","https://openalex.org/W2508457857","https://openalex.org/W2519021537","https://openalex.org/W2612222456","https://openalex.org/W2741137940","https://openalex.org/W2792766850","https://openalex.org/W2915260409","https://openalex.org/W2950689937","https://openalex.org/W2952773607","https://openalex.org/W2962785568","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963725279","https://openalex.org/W2964101377","https://openalex.org/W2997563066","https://openalex.org/W3039447636","https://openalex.org/W3093249525","https://openalex.org/W3109737331","https://openalex.org/W3134670382","https://openalex.org/W3170697543","https://openalex.org/W3202918664","https://openalex.org/W3204971388","https://openalex.org/W3207918547","https://openalex.org/W3210165700","https://openalex.org/W4214609808","https://openalex.org/W4224231790","https://openalex.org/W4224253852","https://openalex.org/W4286611069","https://openalex.org/W4293370661","https://openalex.org/W4320900861","https://openalex.org/W4327661561","https://openalex.org/W4386158732","https://openalex.org/W4393078930","https://openalex.org/W4394597739","https://openalex.org/W4402727345","https://openalex.org/W4402754141","https://openalex.org/W4413146346","https://openalex.org/W7133226306"],"related_works":[],"abstract_inverted_index":{"Quality":[0],"enhancement":[1,20,34,56,79],"methods":[2,21,57],"have":[3,30],"been":[4],"widely":[5],"integrated":[6],"into":[7,81,92],"visual":[8],"communication":[9],"pipelines":[10],"to":[11,27,39,133],"mitigate":[12],"artifacts":[13],"in":[14,64,140],"compressed":[15,90],"images.":[16],"Ideally,":[17],"these":[18],"quality":[19,55,78,111,139],"should":[22],"perform":[23],"robustly":[24],"when":[25,62],"applied":[26,63],"images":[28],"that":[29,75,106,125],"already":[31],"undergone":[32],"prior":[33],"during":[35,100],"transmission.":[36],"We":[37],"refer":[38],"this":[40,67,110],"scenario":[41,49],"as":[42],"multi-enhancement,":[43],"which":[44],"generalizes":[45],"the":[46,97,101,118],"well-known":[47],"multi-generation":[48],"of":[50,120],"image":[51,91,95],"compression.":[52],"Unfortunately,":[53],"current":[54],"suffer":[58],"from":[59],"severe":[60],"degradation":[61],"multi-enhancement.To":[65],"address":[66],"challenge,":[68],"we":[69],"propose":[70],"a":[71,88,93],"novel":[72],"adaptation":[73],"method":[74,86,122],"transforms":[76],"existing":[77,127],"models":[80,128],"domain-consistent":[82],"ones.":[83],"Specifically,":[84],"our":[85,121],"enhances":[87],"low-quality":[89],"high-quality":[94],"within":[96],"natural":[98],"domain":[99],"first":[102],"enhancement,":[103],"and":[104,123,137],"ensures":[105],"subsequent":[107],"enhancements":[108],"preserve":[109],"without":[112],"further":[113],"degradation.":[114],"Extensive":[115],"experiments":[116],"validate":[117],"effectiveness":[119],"show":[124],"various":[126],"can":[129],"be":[130],"successfully":[131],"adapted":[132],"maintain":[134],"both":[135],"fidelity":[136],"perceptual":[138],"multi-enhancement":[141],"scenarios.":[142]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-12-19T00:00:00"}
