{"id":"https://openalex.org/W7117460611","doi":"https://doi.org/10.1109/dicta68720.2025.11302445","title":"Single Image Blind Parameter Recovery","display_name":"Single Image Blind Parameter Recovery","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7117460611","doi":"https://doi.org/10.1109/dicta68720.2025.11302445"},"language":null,"primary_location":{"id":"doi:10.1109/dicta68720.2025.11302445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5000513122","display_name":"Stephen Tierney","orcid":"https://orcid.org/0000-0001-9016-9704"},"institutions":[{"id":"https://openalex.org/I4210088648","display_name":"Cooperative Trials Group for Neuro-Oncology","ror":"https://ror.org/004gchq58","country_code":"AU","type":"other","lineage":["https://openalex.org/I4210088648"]},{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Stephen Tierney","raw_affiliation_strings":["Business School, The University of Sydney,Camperdown,Australia,2050"],"affiliations":[{"raw_affiliation_string":"Business School, The University of Sydney,Camperdown,Australia,2050","institution_ids":["https://openalex.org/I129604602","https://openalex.org/I4210088648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000513122"],"corresponding_institution_ids":["https://openalex.org/I129604602","https://openalex.org/I4210088648"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.65822091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.3725000023841858,"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":0.3725000023841858,"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":0.13199999928474426,"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":0.12189999967813492,"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/inpainting","display_name":"Inpainting","score":0.8795999884605408},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.7847999930381775},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.682699978351593},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6603999733924866},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.558899998664856},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5336999893188477},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5281000137329102}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8795999884605408},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7847999930381775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289999723434448},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.682699978351593},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6128000020980835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5989000201225281},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4546000063419342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32280001044273376},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3095000088214874},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta68720.2025.11302445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.673518717288971}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W113593500","https://openalex.org/W2015159529","https://openalex.org/W2031604650","https://openalex.org/W2031832209","https://openalex.org/W2054640142","https://openalex.org/W2060945009","https://openalex.org/W2100556411","https://openalex.org/W2103559027","https://openalex.org/W2115706991","https://openalex.org/W2139639076","https://openalex.org/W2142058898","https://openalex.org/W2143665831","https://openalex.org/W2158449358","https://openalex.org/W2165736859","https://openalex.org/W2737411481","https://openalex.org/W2798365772","https://openalex.org/W2956015785","https://openalex.org/W2964013315","https://openalex.org/W2991377405","https://openalex.org/W3031967244","https://openalex.org/W3043547428","https://openalex.org/W3212516020","https://openalex.org/W4256511286","https://openalex.org/W4312497550","https://openalex.org/W4386121018"],"related_works":[],"abstract_inverted_index":{"Historically,":[0],"image":[1,12,32,42,59,128],"formation":[2],"parameters":[3],"and":[4,70,94,116],"hyperparameters":[5],"have":[6],"been":[7],"tuned":[8],"by":[9],"hand":[10],"for":[11,58,98],"restoration":[13,43,60,129],"due":[14],"to":[15,44,106,109,113],"the":[16,28,39,46,82,85],"lack":[17],"of":[18,30,41,49],"a":[19,62,103],"broadly":[20],"applicable":[21],"selection":[22,56],"framework.":[23],"This":[24,66],"has":[25],"substantially":[26],"limited":[27],"application":[29],"state-of-the-art":[31],"processing":[33],"methods.":[34],"We":[35,79,101,120],"show":[36,80],"that":[37,81,122],"recasting":[38],"problem":[40],"include":[45],"additional":[47],"task":[48],"inpainting":[50,115],"pixels":[51],"permits":[52],"an":[53],"automatic":[54],"hyperparameter":[55],"procedure":[57,67,86],"through":[61],"pixel-wise":[63],"hold-out":[64],"cross-validation.":[65],"is":[68,87],"algorithm-agnostic":[69],"works":[71],"on":[72],"single":[73],"images":[74],"without":[75],"any":[76],"prior":[77],"information.":[78],"estimator":[83],"in":[84,127],"affinely":[88],"unbiased":[89],"under":[90],"very":[91],"general":[92],"settings":[93],"can":[95],"be":[96],"used":[97],"model":[99],"selection.":[100],"provide":[102],"reference":[104],"implementation":[105],"demonstrate":[107],"how":[108],"extend":[110],"existing":[111],"methods":[112],"support":[114],"present":[117],"empirical":[118],"results.":[119],"hope":[121],"this":[123],"eliminates":[124],"manual":[125],"tuning":[126],"pipelines.":[130]},"counts_by_year":[],"updated_date":"2025-12-30T23:08:21.542490","created_date":"2025-12-29T00:00:00"}
