{"id":"https://openalex.org/W2654954870","doi":"https://doi.org/10.1109/icassp.2017.7952488","title":"Partial image blur detection and segmentation from a single snapshot","display_name":"Partial image blur detection and segmentation from a single snapshot","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2654954870","doi":"https://doi.org/10.1109/icassp.2017.7952488","mag":"2654954870"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5086700618","display_name":"Te-Li Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Te-Li Wang","raw_affiliation_strings":["Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059685861","display_name":"Kuan-Yun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Yun Lee","raw_affiliation_strings":["Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"1907","last_page":"1911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8401555418968201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685461044311523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.733562171459198},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.6899130940437317},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6438344120979309},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5825293064117432},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.569835364818573},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5409139394760132},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.47021961212158203},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4616618752479553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46068763732910156},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.434389591217041},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4185031056404114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.415742963552475},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.41060003638267517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1370677649974823}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8401555418968201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685461044311523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.733562171459198},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.6899130940437317},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6438344120979309},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5825293064117432},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.569835364818573},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5409139394760132},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.47021961212158203},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4616618752479553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46068763732910156},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.434389591217041},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4185031056404114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.415742963552475},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.41060003638267517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1370677649974823},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1598281290","https://openalex.org/W1916731006","https://openalex.org/W1924902684","https://openalex.org/W2001269277","https://openalex.org/W2036682493","https://openalex.org/W2047148318","https://openalex.org/W2054203848","https://openalex.org/W2073489937","https://openalex.org/W2118456997","https://openalex.org/W2119446486","https://openalex.org/W2129587342","https://openalex.org/W2134856340","https://openalex.org/W2140266075","https://openalex.org/W2151931211","https://openalex.org/W2154571593","https://openalex.org/W2163352848","https://openalex.org/W2165746464","https://openalex.org/W2167053624","https://openalex.org/W2169233465","https://openalex.org/W2171664034","https://openalex.org/W2468652750","https://openalex.org/W2474628748","https://openalex.org/W2545985378","https://openalex.org/W4247043502","https://openalex.org/W6635527474","https://openalex.org/W6640263245","https://openalex.org/W6677645045","https://openalex.org/W6681053624","https://openalex.org/W6684531174","https://openalex.org/W6685310287"],"related_works":["https://openalex.org/W2029783634","https://openalex.org/W1597170061","https://openalex.org/W2913940536","https://openalex.org/W2462717764","https://openalex.org/W4377836662","https://openalex.org/W2371693281","https://openalex.org/W2616156716","https://openalex.org/W1587661401","https://openalex.org/W2127710167","https://openalex.org/W2329725028"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,30,73],"address":[4],"the":[5,39,59,63,69],"problem":[6],"of":[7,20,41,62,94],"detecting":[8],"and":[9,45,83,103],"segmenting":[10],"partial":[11,51],"image":[12,23,46,52],"blur":[13,42,47,53,113],"from":[14,58],"a":[15,32],"single":[16],"input":[17,64],"image.":[18,65],"Instead":[19],"assuming":[21],"particular":[22],"priors":[24],"or":[25,91,115],"requiring":[26],"additional":[27],"user":[28],"annotation,":[29],"propose":[31],"novel":[33],"learning":[34,71],"framework":[35],"which":[36,86],"jointly":[37],"solves":[38],"tasks":[40,93],"kernel":[43],"estimation":[44],"segmentation,":[48],"so":[49],"that":[50,75],"can":[54],"be":[55],"automatically":[56],"separated":[57],"remaining":[60],"parts":[61],"By":[66],"alternating":[67],"between":[68],"two":[70],"tasks,":[72],"show":[74],"our":[76,106],"proposed":[77],"method":[78],"would":[79,87,108],"achieve":[80],"promising":[81],"detection":[82,114],"segmentation":[84,116],"performance,":[85],"benefit":[88],"further":[89],"processing":[90],"analysis":[92],"interest.":[95],"We":[96],"also":[97],"verify":[98],"that,":[99],"via":[100],"both":[101],"qualitative":[102],"quantitative":[104],"evaluation,":[105],"approach":[107],"perform":[109],"favorably":[110],"against":[111],"state-of-the-art":[112],"works.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}