{"id":"https://openalex.org/W4205261430","doi":"https://doi.org/10.1109/tip.2022.3140609","title":"Self-Guided Image Dehazing Using Progressive Feature Fusion","display_name":"Self-Guided Image Dehazing Using Progressive Feature Fusion","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205261430","doi":"https://doi.org/10.1109/tip.2022.3140609","pmid":"https://pubmed.ncbi.nlm.nih.gov/35015639"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3140609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3140609","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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":null,"display_name":"Haoran Bai","orcid":"https://orcid.org/0000-0002-3259-4339"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3259-4339","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinshan Pan","orcid":"https://orcid.org/0000-0003-0304-9507"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Pan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0304-9507","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinguang Xiang","orcid":"https://orcid.org/0000-0002-2344-6174"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinguang Xiang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2344-6174","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9008-222X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":17.3248,"has_fulltext":false,"cited_by_count":202,"citation_normalized_percentile":{"value":0.99616123,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"1217","last_page":"1229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9577999711036682,"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":0.9577999711036682,"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":0.017500000074505806,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.006200000178068876,"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/fuse","display_name":"Fuse (electrical)","score":0.7799000144004822},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6833999752998352},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6554999947547913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6186000108718872},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6133000254631042},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4975999891757965},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4855000078678131},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.477400004863739}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8156999945640564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991999983787537},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7799000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.703499972820282},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6833999752998352},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6554999947547913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6186000108718872},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6133000254631042},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4975999891757965},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4855000078678131},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.477400004863739},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4763000011444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3452000021934509},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2596000134944916}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3140609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3140609","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:35015639","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35015639","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1126053830","display_name":null,"funder_award_id":"30920041109","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G144503227","display_name":"\u56fe\u50cf\u548c\u89c6\u9891\u53bb\u6a21\u7cca\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u53ca\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61872421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6329772822","display_name":null,"funder_award_id":"61925204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G654664898","display_name":null,"funder_award_id":"61922043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273014382","display_name":null,"funder_award_id":"2018AAA0102001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1803059841","https://openalex.org/W2003709967","https://openalex.org/W2008393432","https://openalex.org/W2028763589","https://openalex.org/W2034787273","https://openalex.org/W2065002911","https://openalex.org/W2109616376","https://openalex.org/W2114867966","https://openalex.org/W2128254161","https://openalex.org/W2132947399","https://openalex.org/W2155479981","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2738743584","https://openalex.org/W2779176852","https://openalex.org/W2798876216","https://openalex.org/W2897177665","https://openalex.org/W2899026108","https://openalex.org/W2948606054","https://openalex.org/W2962754725","https://openalex.org/W2962782447","https://openalex.org/W2962785568","https://openalex.org/W2963306157","https://openalex.org/W2964030969","https://openalex.org/W2964116203","https://openalex.org/W2965130306","https://openalex.org/W2967233860","https://openalex.org/W2985030998","https://openalex.org/W2987477823","https://openalex.org/W2990007814","https://openalex.org/W3002421716","https://openalex.org/W3006592723","https://openalex.org/W3034278302","https://openalex.org/W3173269149","https://openalex.org/W3174849075","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6684191040","https://openalex.org/W6746696965"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,34,110],"effective":[3],"image":[4,15,43,77,84,101],"dehazing":[5,148],"algorithm":[6,26,139],"which":[7],"explores":[8],"useful":[9],"information":[10,56,97],"from":[11],"the":[12,18,21,41,46,54,58,72,75,79,83,88,95,104,117,137,146],"input":[13,92],"hazy":[14,76,155],"itself":[16],"as":[17,40,91,151,153],"guidance":[19,55,96],"for":[20,98],"haze":[22,130],"removal.":[23,131],"The":[24],"proposed":[25,105,118,138],"first":[27],"uses":[28],"a":[29,65],"deep":[30,119],"pre-dehazer":[31,120],"to":[32,45,70,93,128],"generate":[33],"intermediate":[35],"result,":[36],"and":[37,78,113],"takes":[38,87],"it":[39,49,62],"reference":[42,60,80],"due":[44],"clear":[47,100],"structures":[48],"contains.":[50],"To":[51],"better":[52,99],"explore":[53],"in":[57,109],"generated":[59],"image,":[61],"then":[63],"develops":[64],"progressive":[66,122],"feature":[67,123],"fusion":[68,124],"module":[69,86,125],"fuse":[71],"features":[73,90],"of":[74],"image.":[81],"Finally,":[82],"restoration":[85],"fused":[89],"use":[94],"restoration.":[102],"All":[103],"modules":[106],"are":[107],"trained":[108],"end-to-end":[111],"fashion,":[112],"we":[114],"show":[115,135],"that":[116,136],"with":[121],"is":[126],"able":[127],"help":[129],"Extensive":[132],"experimental":[133],"results":[134],"performs":[140],"favorably":[141],"against":[142],"state-of-the-art":[143],"methods":[144],"on":[145],"widely-used":[147],"benchmark":[149],"datasets":[150],"well":[152],"real-world":[154],"images.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":59},{"year":2024,"cited_by_count":68},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2022-01-26T00:00:00"}