{"id":"https://openalex.org/W7156984366","doi":"https://doi.org/10.3390/jimaging12050186","title":"Physically Guided Attention Mechanism for Underwater Motion Deblurring via Cepstrum-Based Blur Estimation","display_name":"Physically Guided Attention Mechanism for Underwater Motion Deblurring via Cepstrum-Based Blur Estimation","publication_year":2026,"publication_date":"2026-04-26","ids":{"openalex":"https://openalex.org/W7156984366","doi":"https://doi.org/10.3390/jimaging12050186","pmid":"https://pubmed.ncbi.nlm.nih.gov/42188223"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12050186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12050186","pdf_url":"https://www.mdpi.com/2313-433X/12/5/186/pdf?version=1777197215","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/12/5/186/pdf?version=1777197215","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101400721","display_name":"Ning Hu","orcid":"https://orcid.org/0009-0001-4841-0354"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Hu","raw_affiliation_strings":["Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37916, USA"],"raw_orcid":"https://orcid.org/0009-0001-4841-0354","affiliations":[{"raw_affiliation_string":"Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37916, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042819583","display_name":"S Li","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuai Li","raw_affiliation_strings":["Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environmental Engineering Sciences, University of Florida, Gainesville, FL 32611, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134758673","display_name":"Jindong Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jindong Tan","raw_affiliation_strings":["Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37916, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37916, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101400721"],"corresponding_institution_ids":["https://openalex.org/I75027704"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52998371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"5","first_page":"186","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9297999739646912,"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":0.9297999739646912,"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/T11019","display_name":"Image Enhancement Techniques","score":0.03310000151395798,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01140000019222498,"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/deblurring","display_name":"Deblurring","score":0.5809999704360962},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5723000168800354},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5687999725341797},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.546999990940094},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.5404000282287598},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5299999713897705},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.42309999465942383},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.37059998512268066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937999963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.765500009059906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7204999923706055},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.5809999704360962},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5723000168800354},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5687999725341797},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.546999990940094},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.5404000282287598},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5299999713897705},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.37059998512268066},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging12050186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12050186","pdf_url":"https://www.mdpi.com/2313-433X/12/5/186/pdf?version=1777197215","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:42188223","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42188223","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:dd7e9f6f680744c4994bbbebb7b7b386","is_oa":true,"landing_page_url":"https://doaj.org/article/dd7e9f6f680744c4994bbbebb7b7b386","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 12, Iss 5, p 186 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13207862","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13207862/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12050186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12050186","pdf_url":"https://www.mdpi.com/2313-433X/12/5/186/pdf?version=1777197215","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7745469212532043}],"awards":[{"id":"https://openalex.org/G1791946232","display_name":"FW-HTF-R/Collaborative Research: Human-Robot Sensory Transfer for Worker Productivity, Training, and Quality of Life in Remote Undersea Inspection and Construction Tasks","funder_award_id":"2524239","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5651348069","display_name":"FW-HTF-R/Collaborative Research: Human-Robot Sensory Transfer for Worker Productivity, Training, and Quality of Life in Remote Undersea Inspection and Construction Tasks","funder_award_id":"2129003","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7156984366.pdf","grobid_xml":"https://content.openalex.org/works/W7156984366.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"images":[1],"often":[2],"suffer":[3],"from":[4],"mixed":[5],"degradations,":[6],"including":[7],"motion":[8,33,171,192],"blur,":[9],"which":[10,146],"reduce":[11],"structural":[12,153],"clarity":[13],"and":[14,63,66,90,100,106,118,133,141,152,176,186],"adversely":[15],"affect":[16],"downstream":[17],"vision":[18],"tasks.":[19],"To":[20],"address":[21],"this":[22],"problem,":[23],"we":[24],"propose":[25],"a":[26,44],"physically":[27,187],"guided":[28],"Transformer":[29,75],"framework":[30,182],"for":[31,190],"underwater":[32,85,191],"deblurring.":[34,193],"The":[35],"proposed":[36,93,127,161,181],"method":[37,94,128,162],"combines":[38],"two-stage":[39],"cepstrum-based":[40],"blur":[41,52],"estimation":[42],"with":[43],"point":[45],"spread":[46],"function":[47],"(PSF)-guided":[48],"self-attention":[49],"mechanism.":[50],"Specifically,":[51],"parameters":[53],"are":[54],"first":[55],"robustly":[56],"estimated":[57],"through":[58],"cepstrum":[59],"analysis,":[60],"ellipse":[61],"fitting,":[62],"negative-peak":[64],"refinement,":[65],"the":[67,74,83,92,122,126,156,160,165,180],"resulting":[68],"PSF":[69],"is":[70],"then":[71],"embedded":[72],"into":[73],"attention":[76],"module":[77],"to":[78],"guide":[79],"feature":[80],"aggregation.":[81],"On":[82,121],"real":[84],"benchmark":[86],"datasets":[87],"UIEB":[88],"Challenge-60":[89],"EUVP330,":[91],"achieves":[95,164],"UIQM/UCIQE":[96],"scores":[97],"of":[98,115],"4.09/0.56":[99],"3.40/0.58,":[101],"respectively,":[102],"significantly":[103],"outperforming":[104,136],"UFPNet":[105],"Phaseformer,":[107],"thereby":[108],"demonstrating":[109,173],"superior":[110],"perceptual":[111],"restoration":[112,150],"in":[113],"terms":[114],"sharpness,":[116],"contrast,":[117],"color":[119],"consistency.":[120,154],"synthetic":[123],"test":[124],"set,":[125],"attains":[129],"24.23":[130],"dB":[131],"PSNR":[132],"0.918":[134],"SSIM,":[135],"both":[137],"recent":[138],"deep":[139],"models":[140],"classical":[142],"non-blind":[143],"deconvolution":[144],"methods,":[145],"confirms":[147],"its":[148],"strong":[149],"fidelity":[151],"In":[155],"controlled":[157],"water-tank":[158],"experiments,":[159],"consistently":[163],"best":[166],"performance":[167],"under":[168],"different":[169],"camera":[170],"speeds,":[172],"excellent":[174],"robustness":[175],"practical":[177],"applicability.":[178],"Overall,":[179],"provides":[183],"an":[184],"effective":[185],"interpretable":[188],"solution":[189]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-04-29T00:00:00"}
