{"id":"https://openalex.org/W7162003611","doi":"https://doi.org/10.1109/tci.2026.3695652","title":"Log-Reparameterized Diffusion Priors for Blind Radial Defocus Deblurring","display_name":"Log-Reparameterized Diffusion Priors for Blind Radial Defocus Deblurring","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7162003611","doi":"https://doi.org/10.1109/tci.2026.3695652"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2026.3695652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3695652","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","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":"https://openalex.org/A5135462830","display_name":"Chang Wang","orcid":"https://orcid.org/0009-0000-2653-2417"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chang Wang","raw_affiliation_strings":["Kyushu Institute of Technology, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0009-0000-2653-2417","affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123045254","display_name":"G P Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145773","display_name":"Tianjin Medical University Eye Hospital","ror":"https://ror.org/04j2cfe69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145773"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangxu Li","raw_affiliation_strings":["Tianjin Medical University Eye Hospital, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3242-1673","affiliations":[{"raw_affiliation_string":"Tianjin Medical University Eye Hospital, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I4210145773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084154098","display_name":"Yaqiang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqiang Hu","raw_affiliation_strings":["Tiangong University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0002-8985-1970","affiliations":[{"raw_affiliation_string":"Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020146846","display_name":"Tohru Kamiya","orcid":"https://orcid.org/0000-0002-2872-9018"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tohru Kamiya","raw_affiliation_strings":["Kyushu Institute of Technology, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2872-9018","affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63601345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1008","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9269000291824341,"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":0.9269000291824341,"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":0.006000000052154064,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.0034000000450760126,"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/deblurring","display_name":"Deblurring","score":0.892799973487854},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5515999794006348},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4453999996185303},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41530001163482666},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3783000111579895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34869998693466187},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3472999930381775}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.892799973487854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6000000238418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579800009727478},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5515999794006348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188999772071838},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41530001163482666},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3783000111579895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3610000014305115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3269999921321869},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30959999561309814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C2984999661","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Surface fitting","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.28839999437332153},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.2637999951839447}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2026.3695652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3695652","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3735374816","display_name":null,"funder_award_id":"202409340013","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Radial":[0],"defocus":[1,55,87],"blur\u2014a":[2],"pervasive":[3],"degradation":[4],"in":[5,28,48,180],"optical":[6],"systems\u2014exhibits":[7],"spatially-variant":[8,97],"patterns":[9],"where":[10],"blur":[11,100,162],"intensity":[12],"increases":[13],"monotonically":[14],"from":[15,90],"center":[16],"to":[17,20,53,94,198],"periphery":[18],"due":[19],"spherical":[21],"aberration":[22],"and":[23,65,98,132,160],"field":[24,163],"curvature.":[25],"While":[26],"common":[27],"systems,":[29],"existing":[30],"general-purpose":[31],"deblurring":[32,78],"methods":[33],"often":[34],"overlook":[35],"this":[36,141],"physics-informed":[37,76],"structure,":[38],"limiting":[39],"their":[40,51],"real-world":[41,199],"performance.":[42],"Although":[43],"diffusion":[44,121],"models":[45],"show":[46],"promise":[47],"image":[49,159],"restoration,":[50],"application":[52],"radial":[54],"remains":[56],"challenged":[57],"by":[58,128,177],"a":[59,75,83,105,203],"lack":[60],"of":[61,86,156],"underlying":[62],"physical":[63,92,143,166,208],"modeling":[64,93],"optimization":[66,107],"instabilities.":[67],"To":[68],"address":[69],"these":[70],"challenges,":[71],"we":[72,103],"propose":[73],"Log-Diff,":[74],"blind":[77],"framework.":[79],"We":[80],"first":[81],"construct":[82],"comprehensive":[84],"dataset":[85],"kernels":[88],"derived":[89],"parametric":[91],"accurately":[95],"capture":[96],"distance-dependent":[99],"characteristics.":[101],"Crucially,":[102],"introduce":[104],"log-space":[106],"strategy":[108],"(<inline-formula":[109],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[111],"notation=\"LaTeX\">$\\boldsymbol{\\sigma":[112],"}^{\\prime":[113],"}":[114],"=":[115],"\\log":[116],"\\boldsymbol{\\sigma":[117],"}$</tex-math></inline-formula>)":[118],"within":[119],"the":[120,146,153,157,161],"process.":[122],"This":[123],"mechanism":[124],"effectively":[125],"resolves":[126],"instability":[127],"enforcing":[129],"non-negativity":[130],"constraints":[131,209],"preventing":[133],"gradient":[134],"vanishing":[135],"through":[136],"adaptive":[137],"scaling.":[138],"By":[139],"integrating":[140,207],"reparameterized":[142],"model":[144],"into":[145,210],"reverse":[147],"sampling":[148],"process,":[149],"our":[150,195],"architecture":[151],"enables":[152],"joint":[154],"estimation":[155],"sharp":[158],"with":[164],"strict":[165],"consistency.":[167],"Extensive":[168],"experiments":[169],"on":[170],"FFHQ":[171],"demonstrate":[172],"that":[173],"Log-Diff":[174],"outperforms":[175],"baselines":[176],"over":[178],"39%":[179],"perceptual":[181],"metrics":[182],"(LPIPS":[183],"0.12)":[184],"while":[185],"maintaining":[186],"high":[187],"fidelity":[188],"(PSNR":[189],"27.41":[190],"dB).":[191],"Unlike":[192],"normalized":[193],"approximations,":[194],"approach":[196],"generalizes":[197],"projector":[200],"scenarios,":[201],"establishing":[202],"new":[204],"paradigm":[205],"for":[206],"generative":[211],"priors.":[212]},"counts_by_year":[],"updated_date":"2026-06-10T06:17:36.459440","created_date":"2026-05-22T00:00:00"}
