{"id":"https://openalex.org/W2155720888","doi":"https://doi.org/10.1109/cvpr.2008.4587768","title":"Overcoming visual reverberations","display_name":"Overcoming visual reverberations","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2155720888","doi":"https://doi.org/10.1109/cvpr.2008.4587768","mag":"2155720888"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111601077","display_name":"Y. Diamant","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yaron Diamant","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034958674","display_name":"Yoav Y. Schechner","orcid":"https://orcid.org/0000-0002-4022-7037"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yoav Y. Schechner","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":null,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9965000152587891,"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/T11666","display_name":"Color Science and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7432575225830078},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7000584602355957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758847236633301},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6728724241256714},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.61979740858078},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6083043813705444},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5983763337135315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630602836608887},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.5131047964096069},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.49874043464660645},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4801616072654724},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.46573013067245483},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45635250210762024},{"id":"https://openalex.org/keywords/ray","display_name":"Ray","score":0.4505293667316437},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.42524459958076477},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4108135402202606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3421120345592499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21621444821357727},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1780378222465515},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15895560383796692},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12570267915725708}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7432575225830078},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7000584602355957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758847236633301},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6728724241256714},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.61979740858078},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6083043813705444},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5983763337135315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630602836608887},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.5131047964096069},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.49874043464660645},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4801616072654724},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.46573013067245483},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45635250210762024},{"id":"https://openalex.org/C182610534","wikidata":"https://www.wikidata.org/wiki/Q633620","display_name":"Ray","level":2,"score":0.4505293667316437},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.42524459958076477},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4108135402202606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3421120345592499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21621444821357727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1780378222465515},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15895560383796692},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12570267915725708},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.4773","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.4773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.technion.ac.il/~yoav/publications/tReverberate_CVPR.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.407.8724","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.407.8724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/428.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W37886468","https://openalex.org/W1543446142","https://openalex.org/W1558369361","https://openalex.org/W1593446593","https://openalex.org/W1945900619","https://openalex.org/W1986257159","https://openalex.org/W2036379242","https://openalex.org/W2064194050","https://openalex.org/W2078466440","https://openalex.org/W2096244937","https://openalex.org/W2098309219","https://openalex.org/W2100140302","https://openalex.org/W2105883239","https://openalex.org/W2107530646","https://openalex.org/W2115494635","https://openalex.org/W2116086749","https://openalex.org/W2116483574","https://openalex.org/W2124986904","https://openalex.org/W2128593740","https://openalex.org/W2131405843","https://openalex.org/W2137002968","https://openalex.org/W2141030717","https://openalex.org/W2141864487","https://openalex.org/W2148310900","https://openalex.org/W2151282550","https://openalex.org/W2153004143","https://openalex.org/W2154847188","https://openalex.org/W2163736846","https://openalex.org/W2172662720","https://openalex.org/W2294015461","https://openalex.org/W4241529584","https://openalex.org/W6633270728","https://openalex.org/W6640779473","https://openalex.org/W6676075529"],"related_works":["https://openalex.org/W1522749619","https://openalex.org/W2074936003","https://openalex.org/W1987874030","https://openalex.org/W2016902129","https://openalex.org/W2058370805","https://openalex.org/W2808332603","https://openalex.org/W2004188080","https://openalex.org/W3102245482","https://openalex.org/W2048473794","https://openalex.org/W2051682859"],"abstract_inverted_index":{"An":[0],"image":[1,83],"acquired":[2],"through":[3,162],"a":[4,8,13,19,22,52,78,97,100,136,157,163],"glass":[5],"window":[6,34],"is":[7,55,141,156,168],"super-position":[9],"of":[10,21,26,49,57,67,81,90,107,116,159],"two":[11],"sources:":[12,51],"scene":[14,23,112],"behind":[15],"the":[16,27,33,41,47,65,82,91,121,154],"window,":[17],"and":[18,38,59,93,148],"reflection":[20],"in":[24],"front":[25],"window.":[28],"Light":[29],"rays":[30],"incident":[31],"on":[32,143],"are":[35],"reflected":[36,94],"back":[37],"forth":[39],"inside":[40],"glass.":[42],"Such":[43],"internal":[44],"reflections":[45],"affect":[46],"radiance":[48],"both":[50],"spatial":[53],"effect":[54],"created":[56],"dimmed":[58],"shifted":[60],"replications.":[61],"Our":[62],"work":[63],"generalizes":[64],"treatment":[66],"transparent":[68],"scenes":[69,95],"to":[70,128,153],"deal":[71],"with":[72,99],"this":[73,130],"effect.":[74],"First,":[75],"we":[76],"present":[77,135],"physical":[79],"model":[80],"formation.":[84],"It":[85],"turns":[86],"out":[87],"that":[88],"each":[89],"transmitted":[92],"undergoes":[96],"convolution":[98],"particular":[101],"point":[102],"spread":[103],"function":[104],"(PSF),":[105],"composed":[106],"distinct":[108],"delta":[109],"functions.":[110],"Therefore,":[111],"recovery":[113],"involves":[114],"inversion":[115],"these":[117],"PSFs.":[118],"We":[119,133],"analyze":[120],"fundamental":[122],"limitations":[123],"faced":[124],"by":[125,145],"any":[126],"attempt":[127],"solve":[129],"inverse":[131],"problem.":[132],"then":[134],"solution":[137],"approach.":[138],"The":[139,151,166],"approach":[140],"based":[142],"deconvolution":[144],"linear":[146],"filtering":[147],"simple":[149],"optimization.":[150],"input":[152],"algorithm":[155],"pair":[158],"frames,":[160],"taken":[161],"polarizing":[164],"filter.":[165],"method":[167],"demonstrated":[169],"experimentally.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}