{"id":"https://openalex.org/W4411550746","doi":"https://doi.org/10.1109/tsp.2025.3580723","title":"Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion","display_name":"Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411550746","doi":"https://doi.org/10.1109/tsp.2025.3580723"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3580723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3580723","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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":null,"display_name":"Yubo Wu","orcid":"https://orcid.org/0009-0006-7141-7702"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yubo Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0006-7141-7702","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052436765","display_name":"Kuanhong Cheng","orcid":"https://orcid.org/0000-0002-0025-4890"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuanhong Cheng","raw_affiliation_strings":["School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-0025-4890","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi&#x2019;an University of Technology, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047242742","display_name":"Tingting Chai","orcid":"https://orcid.org/0000-0002-4507-5693"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Chai","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0002-4507-5693","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071863551","display_name":"Gengyu Lyu","orcid":"https://orcid.org/0000-0001-8382-2007"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengyu Lyu","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8382-2007","affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7641-2237","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395308","display_name":"Wei Jia","orcid":"https://orcid.org/0000-0001-5628-6237"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jia","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-6237","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8699,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.860745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"2631","last_page":"2645"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9983000159263611,"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/boosting","display_name":"Boosting (machine learning)","score":0.6344214677810669},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.4792230725288391},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.46491390466690063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4419606328010559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4410804510116577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36903125047683716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3605501651763916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3490794897079468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33765748143196106},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2109588384628296},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.14563491940498352},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.109771728515625}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6344214677810669},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.4792230725288391},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.46491390466690063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4419606328010559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4410804510116577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36903125047683716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3605501651763916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3490794897079468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33765748143196106},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2109588384628296},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.14563491940498352},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.109771728515625}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2025.3580723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3580723","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G309947511","display_name":null,"funder_award_id":"ZR2023QF030","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6425019557","display_name":null,"funder_award_id":"62105258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6602789330","display_name":null,"funder_award_id":"62272383","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W565239305","https://openalex.org/W1686810756","https://openalex.org/W1834627138","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W1971473556","https://openalex.org/W1993947467","https://openalex.org/W2028094141","https://openalex.org/W2102166818","https://openalex.org/W2566376638","https://openalex.org/W2732026016","https://openalex.org/W2887004730","https://openalex.org/W2962766617","https://openalex.org/W2963091558","https://openalex.org/W2964137095","https://openalex.org/W3043177611","https://openalex.org/W3092326650","https://openalex.org/W3138516171","https://openalex.org/W3155072588","https://openalex.org/W3170697543","https://openalex.org/W3183800428","https://openalex.org/W3207918547","https://openalex.org/W4214745154","https://openalex.org/W4224130636","https://openalex.org/W4225672218","https://openalex.org/W4250482878","https://openalex.org/W4312617714","https://openalex.org/W4312916089","https://openalex.org/W4312964941","https://openalex.org/W4313134080","https://openalex.org/W4317496742","https://openalex.org/W4319302806","https://openalex.org/W4320008842","https://openalex.org/W4321232185","https://openalex.org/W4385245566","https://openalex.org/W4386075704","https://openalex.org/W4386986828","https://openalex.org/W4387252443","https://openalex.org/W4389326242","https://openalex.org/W4390691233","https://openalex.org/W4390873062","https://openalex.org/W4391591097","https://openalex.org/W4392667071","https://openalex.org/W4396523571","https://openalex.org/W4396897795","https://openalex.org/W4399126040","https://openalex.org/W4400314890","https://openalex.org/W4402715897","https://openalex.org/W4402952320","https://openalex.org/W4403420607","https://openalex.org/W4403601086","https://openalex.org/W4404533930","https://openalex.org/W4409014476","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6679045638","https://openalex.org/W6779823529","https://openalex.org/W6780848123","https://openalex.org/W6783713337","https://openalex.org/W6788990321","https://openalex.org/W6859298233","https://openalex.org/W6861213978","https://openalex.org/W6861342692"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2147697413","https://openalex.org/W2154063878","https://openalex.org/W4231274751","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2571255492"],"abstract_inverted_index":{"Recovering":[0],"fine":[1],"details":[2],"from":[3,32,216],"turbulence-distorted":[4],"images":[5],"is":[6,38],"highly":[7],"challenging":[8],"due":[9,40],"to":[10,41,72,118,126,155,188,210,218],"the":[11,19,42,75,95,101,120,136,151,165,191],"complex,":[12],"spatially":[13,85],"varying,":[14],"and":[15,28,107,109,175,181],"stochastic":[16],"nature":[17],"of":[18,44,98,194],"distortion":[20],"process.":[21],"Conventional":[22],"multi-frame":[23],"methods":[24,51],"rely":[25,112],"on":[26,113,150,198],"extracting":[27],"averaging":[29],"clear":[30],"regions":[31],"pre-aligned":[33],"frames,":[34],"but":[35],"their":[36],"effectiveness":[37],"limited":[39],"rarity":[43],"\u201clucky":[45],"regions\u201d.":[46],"In":[47],"contrast,":[48],"learning":[49,63],"based":[50],"have":[52],"shown":[53],"superior":[54,206],"performance":[55,208],"across":[56],"various":[57],"vision":[58],"tasks.":[59],"However,":[60],"existing":[61],"deep":[62],"approaches":[64],"still":[65],"face":[66],"key":[67],"limitations:":[68],"(1)":[69],"they":[70,92,111],"struggle":[71],"efficiently":[73],"model":[74],"global":[76,159],"context":[77],"required":[78],"for":[79,178],"correcting":[80],"pixel":[81],"dispersion":[82],"caused":[83],"by":[84],"varying":[86],"Point":[87],"Spread":[88],"Functions":[89],"(PSFs);":[90],"(2)":[91],"often":[93],"overlook":[94],"physical":[96,192],"formation":[97],"turbulence,":[99,124],"particularly":[100],"spatial-frequency":[102],"relationship":[103],"between":[104],"phase":[105],"distortions":[106],"PSFs;":[108],"(3)":[110],"deterministic":[114],"architectures":[115],"that":[116,203],"fail":[117],"capture":[119],"inherent":[121],"uncertainty":[122],"in":[123],"leading":[125],"visually":[127],"implausible":[128],"outputs.":[129],"To":[130],"address":[131],"these":[132],"issues,":[133],"we":[134],"propose":[135],"Two-Stage":[137],"Turbulence":[138],"Removal":[139],"Network":[140],"(TSTRNet).":[141],"The":[142,161],"first":[143],"stage":[144,163],"uses":[145],"a":[146,168],"UNet-based":[147],"generator":[148],"built":[149],"State":[152],"Space":[153],"Model":[154],"perform":[156],"efficient,":[157],"coarse":[158],"restoration.":[160],"second":[162],"refines":[164],"output":[166],"through":[167],"Denoising":[169],"Diffusion":[170],"Probabilistic":[171],"Model,":[172],"introducing":[173],"stochasticity":[174],"edge-guided":[176],"conditioning":[177],"detail":[179],"enhancement":[180],"realism.":[182],"Both":[183],"stages":[184],"incorporate":[185],"frequency-domain":[186],"processing":[187],"align":[189],"with":[190,213],"characteristics":[193],"turbulence.":[195],"Experimental":[196],"results":[197],"multiple":[199],"benchmark":[200],"datasets":[201],"demonstrate":[202],"TSTRNet":[204],"achieves":[205],"restoration":[207],"compared":[209],"state-of-the-art":[211],"methods,":[212],"strong":[214],"generalization":[215],"synthetic":[217],"real-world":[219],"scenarios.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
