{"id":"https://openalex.org/W4386597154","doi":"https://doi.org/10.1109/icip49359.2023.10222233","title":"TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment","display_name":"TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597154","doi":"https://doi.org/10.1109/icip49359.2023.10222233"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5050870560","display_name":"Tiantian Zeng","orcid":"https://orcid.org/0000-0002-3609-6556"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Zeng","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035359666","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0002-8859-5453"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["Univ Rennes,INSA Rennes, CNRS, IETR - UMR 6164,Rennes,France,F-35000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ Rennes,INSA Rennes, CNRS, IETR - UMR 6164,Rennes,France,F-35000","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I56067802","https://openalex.org/I1294671590","https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035616324","display_name":"Wenbin Zou","orcid":"https://orcid.org/0000-0003-1389-9089"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Zou","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445591","display_name":"Xia Li","orcid":"https://orcid.org/0000-0002-8043-9966"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076929850","display_name":"Shishun Tian","orcid":"https://orcid.org/0000-0002-7616-8382"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shishun Tian","raw_affiliation_strings":["Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4491,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64008652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"3075","last_page":"3079"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987000226974487,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.7566354274749756},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7163058519363403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853414177894592},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6136632561683655},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5730219483375549},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5482854247093201},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5441119074821472},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5242804884910583},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.48395445942878723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48369675874710083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4291940927505493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3488430976867676},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30254966020584106},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.11680877208709717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10004189610481262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566354274749756},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7163058519363403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853414177894592},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6136632561683655},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5730219483375549},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5482854247093201},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5441119074821472},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5242804884910583},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.48395445942878723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48369675874710083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4291940927505493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3488430976867676},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30254966020584106},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.11680877208709717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10004189610481262},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1109/icip49359.2023.10222233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04356647v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04356647","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. ⟨10.1109/icip49359.2023.10222233⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1552073401","https://openalex.org/W1987489060","https://openalex.org/W2095543923","https://openalex.org/W2163352848","https://openalex.org/W2508509730","https://openalex.org/W2894938704","https://openalex.org/W2918431349","https://openalex.org/W3016917677","https://openalex.org/W3028365735","https://openalex.org/W3035719652","https://openalex.org/W3094797876","https://openalex.org/W3160694286","https://openalex.org/W3173269149","https://openalex.org/W3193517049","https://openalex.org/W3194293177","https://openalex.org/W3204515269","https://openalex.org/W4210361933","https://openalex.org/W4214745154","https://openalex.org/W4225466252","https://openalex.org/W4225642699","https://openalex.org/W4315473471","https://openalex.org/W4385245566","https://openalex.org/W6647225686","https://openalex.org/W6739901393","https://openalex.org/W6810528449"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2768526084","https://openalex.org/W2801208768"],"abstract_inverted_index":{"Image":[0],"dehazing":[1,36],"algorithms":[2],"have":[3],"emerged":[4],"to":[5,16,55,123,131],"solve":[6],"the":[7,28,33,94,103,125,133,156,164],"visual":[8],"impairment":[9],"caused":[10],"by":[11],"haze.":[12],"It":[13],"is":[14,147],"important":[15],"establish":[17],"dehazed":[18,29,61],"image":[19,30,40,74],"quality":[20,31,41],"assessment":[21,42],"(DQA)":[22],"methods":[23,50],"that":[24,107,137],"can":[25],"accurately":[26],"evaluate":[27],"and":[32,44,85,96,114],"performance":[34,161],"of":[35,60,93],"algorithms.":[37],"However,":[38],"classical":[39],"(IQA)":[43],"most":[45],"hand-crafted":[46],"feature":[47,87,144],"based":[48],"DQA":[49,153],"may":[51],"not":[52],"be":[53],"able":[54],"adequately":[56],"measure":[57],"complex":[58],"distortions":[59],"images.":[62],"To":[63],"address":[64],"this":[65,67],"issue,":[66],"paper":[68],"proposes":[69],"a":[70,83,91,120,142],"Texture":[71],"Residual-Guided":[72],"Dehazed":[73],"Quality":[75],"Assessment":[76],"(TRG-DQA)":[77],"method.":[78],"Specifically,":[79],"we":[80,118],"first":[81],"introduce":[82],"global":[84],"local":[86],"extraction":[88],"module":[89,122,146],"employing":[90],"combination":[92],"Transformer":[95],"convolutional":[97],"neural":[98],"networks":[99],"(CNN)":[100],"for":[101,127],"extracting":[102],"comprehensive":[104],"features.":[105],"Considering":[106],"texture":[108],"residual":[109],"maps":[110],"represent":[111],"haze":[112],"density":[113],"artifact":[115],"distortion":[116],"information,":[117],"propose":[119],"residual-guided":[121],"guide":[124],"model":[126],"efficient":[128],"learning.":[129],"Additionally,":[130],"mitigate":[132],"information":[134],"loss":[135],"issue":[136],"occurs":[138],"in":[139],"deeper":[140],"networks,":[141],"distortion-aware":[143],"enhancement":[145],"proposed.":[148],"Extensive":[149],"experiments":[150],"on":[151],"six":[152],"databases":[154],"demonstrate":[155],"proposed":[157],"TRG-DQA":[158],"achieves":[159],"superior":[160],"among":[162],"all":[163],"state-of-the-art":[165],"methods.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}