{"id":"https://openalex.org/W2780429238","doi":"https://doi.org/10.1109/iccv.2017.516","title":"Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising","display_name":"Blob Reconstruction Using Unilateral Second Order Gaussian Kernels with Application to High-ISO Long-Exposure Image Denoising","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2780429238","doi":"https://doi.org/10.1109/iccv.2017.516","mag":"2780429238"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2017.516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2017.516","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 Computer Vision (ICCV)","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/A5032988165","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-1916-6110"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056125713","display_name":"Carlos L\u00f3pez-Molina","orcid":"https://orcid.org/0000-0002-0904-9834"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I175051016","display_name":"Universidad Publica de Navarra","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["BE","ES"],"is_corresponding":false,"raw_author_name":"Carlos Lopez-Molina","raw_affiliation_strings":["Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium","Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012437460","display_name":"Bernard De Baets","orcid":"https://orcid.org/0000-0002-3876-620X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bernard De Baets","raw_affiliation_strings":["Department of Mathematical Modelling, Statistics and Bioinformatics, Universiteit Gent, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Modelling, Statistics and Bioinformatics, Universiteit Gent, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032988165"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":2.1188,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89799477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4827","last_page":"4835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"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":0.9976000189781189,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9952999949455261,"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/blob-detection","display_name":"Blob detection","score":0.8305652737617493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.750411868095398},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7462846040725708},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6153542399406433},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.543594241142273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5390680432319641},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5316819548606873},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4950934946537018},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.46562641859054565},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43834421038627625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4167880713939667},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4148263931274414},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39313676953315735},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38521769642829895},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21321669220924377},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.1009468138217926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07520437240600586}],"concepts":[{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.8305652737617493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.750411868095398},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7462846040725708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6153542399406433},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.543594241142273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390680432319641},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5316819548606873},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4950934946537018},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.46562641859054565},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43834421038627625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4167880713939667},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4148263931274414},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39313676953315735},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38521769642829895},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21321669220924377},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.1009468138217926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07520437240600586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2017.516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2017.516","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 Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8634309","is_oa":false,"landing_page_url":"http://hdl.handle.net/1854/LU-8634309","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 IEEE international conference on computer vision (ICCV)","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324050","display_name":"Ostravsk\u00e1 Univerzita v Ostrav\u011b","ror":"https://ror.org/00pyqav47"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1966811077","https://openalex.org/W1977709942","https://openalex.org/W2003370853","https://openalex.org/W2008075225","https://openalex.org/W2012231760","https://openalex.org/W2022735534","https://openalex.org/W2034501924","https://openalex.org/W2037642501","https://openalex.org/W2044221450","https://openalex.org/W2056370875","https://openalex.org/W2059736916","https://openalex.org/W2062120829","https://openalex.org/W2083799719","https://openalex.org/W2097073572","https://openalex.org/W2109200236","https://openalex.org/W2162819370","https://openalex.org/W2163267953","https://openalex.org/W2168512023","https://openalex.org/W2195101915","https://openalex.org/W2203654268","https://openalex.org/W2207662563","https://openalex.org/W2294930922","https://openalex.org/W2312947295","https://openalex.org/W2329184523","https://openalex.org/W2963366932","https://openalex.org/W3039655948","https://openalex.org/W6652224460"],"related_works":["https://openalex.org/W1970319972","https://openalex.org/W2895947835","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W2386722878","https://openalex.org/W2953254336","https://openalex.org/W2353444452"],"abstract_inverted_index":{"Blob":[0],"detection":[1,34],"and":[2,7,49,74,84,90,104,122],"image":[3],"denoising":[4,76],"are":[5],"fundamental,":[6],"sometimes":[8],"related,":[9],"tasks":[10],"in":[11],"computer":[12],"vision.":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19],"blob":[20,33,44,53,71,114],"reconstruction":[21,72],"method":[22,37,73],"using":[23],"scale-invariant":[24],"normalized":[25],"unilateral":[26],"second":[27],"order":[28],"Gaussian":[29],"kernels.":[30],"Unlike":[31],"other":[32],"methods,":[35,77],"our":[36,70,110],"suppresses":[38],"non-blob":[39],"structures":[40],"while":[41],"also":[42],"identifying":[43],"parameters,":[45],"i.e.,":[46,78],"position,":[47],"prominence":[48],"scale,":[50],"thereby":[51],"facilitating":[52],"reconstruction.":[54],"We":[55],"present":[56],"an":[57],"algorithm":[58,82],"for":[59],"high-ISO":[60,101],"long-exposure":[61,102],"noise":[62,103],"removal":[63],"that":[64,109],"results":[65],"from":[66],"the":[67,79,85,113,119],"combination":[68],"of":[69,88],"state-of-the-art":[75],"non-local":[80],"means":[81],"(NLM)":[83],"color":[86],"version":[87],"block-matching":[89],"3-D":[91],"filtering":[92],"(CBM3D).":[93],"Experiments":[94],"on":[95],"standard":[96],"images":[97,107],"corrupted":[98],"by":[99],"real":[100],"real-world":[105],"noisy":[106],"demonstrate":[108],"schemes":[111],"incorporating":[112],"reduction":[115],"procedure":[116],"outperform":[117],"both":[118],"original":[120],"NLM":[121],"CBM3D.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
