{"id":"https://openalex.org/W4409536938","doi":"https://doi.org/10.1109/icvisp64524.2024.10959626","title":"Multi-Scale Atmospheric Turbulence Blind Deblurring","display_name":"Multi-Scale Atmospheric Turbulence Blind Deblurring","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4409536938","doi":"https://doi.org/10.1109/icvisp64524.2024.10959626"},"language":"en","primary_location":{"id":"doi:10.1109/icvisp64524.2024.10959626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5000955898","display_name":"Yang Liu","orcid":"https://orcid.org/0009-0008-5390-4579"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089240137","display_name":"Zhisheng Gao","orcid":"https://orcid.org/0000-0002-0470-8861"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Gao","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000955898"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30624548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9866999983787537,"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":0.9866999983787537,"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":0.9745000004768372,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9078689813613892},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.6483582854270935},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5811970233917236},{"id":"https://openalex.org/keywords/atmospheric-turbulence","display_name":"Atmospheric turbulence","score":0.5282275676727295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774470925331116},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.42813628911972046},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3422561287879944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29155513644218445},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27418622374534607},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.21736347675323486},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16977658867835999},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13227492570877075}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9078689813613892},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.6483582854270935},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5811970233917236},{"id":"https://openalex.org/C3019432306","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Atmospheric turbulence","level":3,"score":0.5282275676727295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774470925331116},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42813628911972046},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3422561287879944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29155513644218445},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27418622374534607},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.21736347675323486},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16977658867835999},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13227492570877075},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp64524.2024.10959626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1970958080","https://openalex.org/W2300657047","https://openalex.org/W2319561215","https://openalex.org/W2560533888","https://openalex.org/W2894652550","https://openalex.org/W2971719842","https://openalex.org/W2999653953","https://openalex.org/W3034789174","https://openalex.org/W3170697543","https://openalex.org/W3176096490","https://openalex.org/W3202040256","https://openalex.org/W4297474225","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4385767446","https://openalex.org/W4388322996","https://openalex.org/W6631190155","https://openalex.org/W6710848440","https://openalex.org/W6726497184","https://openalex.org/W6852309812","https://openalex.org/W6862817261"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4308216825","https://openalex.org/W4312281738","https://openalex.org/W2062923025","https://openalex.org/W2786875726","https://openalex.org/W4287817146","https://openalex.org/W4226194415","https://openalex.org/W3009226622","https://openalex.org/W1966296814"],"abstract_inverted_index":{"When":[0],"observing":[1],"space":[2],"targets,":[3],"atmospheric":[4,84,210],"turbulence":[5,85,211],"causes":[6],"geometric":[7],"distortion":[8],"and":[9,26,39,54,62,79,105,126,165,167,208],"spatiotemporal":[10],"changes":[11],"in":[12,58,67],"the":[13,19,23,27,45,51,76,143,154,157,160],"ground-to-air":[14],"imaging":[15],"process":[16],"due":[17],"to":[18,115,123,140,177,193],"random":[20],"motion":[21],"of":[22,29,47,92,137,145,156,162],"turbulent":[24],"medium":[25],"superposition":[28],"multiple":[30,204],"external":[31],"disturbance":[32],"factors.":[33],"Existing":[34],"methods":[35],"either":[36],"perform":[37],"deblurring":[38,87],"denoising":[40],"completely":[41],"independently,":[42],"or":[43],"ignore":[44],"interference":[46],"additive":[48],"noise":[49,125],"during":[50],"optimization":[52],"process,":[53],"are":[55],"still":[56],"insufficient":[57],"processing":[59],"spatial":[60,191],"details":[61,192],"inter-pixel":[63],"information":[64,136],"perception,":[65],"resulting":[66],"poor":[68],"restoration":[69],"results.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"rethink":[75],"coarse-to-fine":[77],"scheme":[78],"design":[80],"a":[81,93,106,112,120,150,186],"multi-scale":[82,135],"structured":[83],"blind":[86],"network":[88],"(BATDNet),":[89],"which":[90,181],"consists":[91],"shallow":[94,121],"feature":[95,101,129,146,163],"extraction":[96],"module":[97,103,133],"(SFE),":[98],"an":[99,174],"asymmetric":[100],"fusion":[102],"(AFF),":[104],"basic":[107,151],"block":[108],"called":[109],"NFSR.SFE":[110],"uses":[111,173],"simple":[113],"structure":[114],"extract":[116],"coarse-grained":[117],"features":[118],"at":[119],"level":[122],"suppress":[124],"capture":[127],"rich":[128],"maps.":[130],"The":[131,171],"AFF":[132],"fuses":[134],"different":[138],"granularities":[139],"effectively":[141],"help":[142],"flow":[144],"information.":[147,170],"NFSR,":[148],"as":[149],"block,":[152],"reduces":[153],"complexity":[155],"model,":[158],"enhances":[159],"importance":[161],"channels":[164],"space,":[166],"expands":[168],"location-aware":[169],"backbone":[172],"encoder-decoder":[175],"architecture":[176],"learn":[178],"contextual":[179],"information,":[180],"is":[182],"then":[183],"combined":[184],"with":[185],"high-resolution":[187],"branch":[188],"that":[189],"preserves":[190],"ensure":[194],"high-quality":[195],"image":[196],"recovery.":[197],"Our":[198],"method":[199],"demonstrates":[200],"excellent":[201],"performance":[202],"on":[203],"simulated":[205],"data":[206],"scenarios":[207],"real":[209],"datasets.":[212]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}