{"id":"https://openalex.org/W2067044117","doi":"https://doi.org/10.1109/ispacs.2012.6473471","title":"Visual depth guided image rain streaks removal via sparse coding","display_name":"Visual depth guided image rain streaks removal via sparse coding","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2067044117","doi":"https://doi.org/10.1109/ispacs.2012.6473471","mag":"2067044117"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2012.6473471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2012.6473471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","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/A5036461000","display_name":"Duan-Yu Chen","orcid":"https://orcid.org/0000-0002-4607-0552"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Duan-Yu Chen","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan","Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101770112","display_name":"Chien\u2010Cheng Chen","orcid":"https://orcid.org/0000-0002-1684-4297"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Cheng Chen","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan","Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106664802","display_name":"Li\u2010Wei Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Wei Kang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Institute of Information Science,Academia Sinica,,Taipei,,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science,Academia Sinica,,Taipei,,Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9024,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76456069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6701","issue":null,"first_page":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.6859146952629089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6574999690055847},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5668410658836365},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.549575686454773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5413079857826233},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5373839735984802},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5140172243118286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42674195766448975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.371841162443161},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1802370846271515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859146952629089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6574999690055847},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5668410658836365},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.549575686454773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5413079857826233},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5373839735984802},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5140172243118286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42674195766448975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.371841162443161},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1802370846271515},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/ispacs.2012.6473471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2012.6473471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Symposium on Intelligent Signal Processing and Communications Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1572507715","https://openalex.org/W1837894622","https://openalex.org/W1965572510","https://openalex.org/W1965764266","https://openalex.org/W1976056157","https://openalex.org/W1976709621","https://openalex.org/W1986266272","https://openalex.org/W2010641531","https://openalex.org/W2038133417","https://openalex.org/W2096672847","https://openalex.org/W2099244020","https://openalex.org/W2112447569","https://openalex.org/W2113569611","https://openalex.org/W2119535410","https://openalex.org/W2121396509","https://openalex.org/W2121651107","https://openalex.org/W2122596619","https://openalex.org/W2132254548","https://openalex.org/W2137031670","https://openalex.org/W2146837664","https://openalex.org/W2154996879","https://openalex.org/W2160547390","https://openalex.org/W2160956336","https://openalex.org/W2163146621","https://openalex.org/W2167897892","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6676727762","https://openalex.org/W6677932302","https://openalex.org/W6678827375","https://openalex.org/W6679579843"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2071206959","https://openalex.org/W1980417906","https://openalex.org/W2123241129","https://openalex.org/W1892675750","https://openalex.org/W2065031478"],"abstract_inverted_index":{"Rain":[0],"removal":[1],"from":[2,16,79],"an":[3,22],"image":[4,24,37],"is":[5,25,58,86],"a":[6,61,65,82],"challenging":[7],"problem":[8],"since":[9],"no":[10],"motion":[11],"information":[12],"can":[13,108,114,133,146],"be":[14,45,109,115,134,147],"obtained":[15],"successive":[17],"images.":[18],"In":[19],"this":[20],"work,":[21],"input":[23],"first":[26],"decomposed":[27,59],"into":[28,60],"low-frequency":[29],"part":[30,33,49,57],"and":[31,53,64,72,94],"high-frequency":[32,48,56,80],"by":[34,68],"using":[35],"guided":[36],"filter.":[38],"So":[39],"that":[40,127],"the":[41,47,55,100,119,130,140],"rain":[42,77,106,131],"streaks":[43,78,107],"would":[44],"in":[46],"with":[50,118],"non-rain":[51,112],"textures,":[52],"then":[54],"\u201crain":[62],"component\u201d":[63,67],"\u201cnon-rain":[66],"performing":[69],"dictionary":[70],"learning":[71],"sparse":[73],"coding.":[74],"To":[75],"separate":[76],"part,":[81],"hybrid":[83,101],"feature":[84,102],"set":[85,103],"exploited":[87],"which":[88],"includes":[89],"histogram":[90],"of":[91,96,143],"gradient":[92],"(HoG)":[93],"difference":[95],"depth":[97],"(DoD).":[98],"With":[99],"applied,":[104],"most":[105],"removed;":[110],"meanwhile,":[111],"components":[113,132],"enhanced.":[116],"Compared":[117],"state-of-the-art":[120],"method":[121],"[12],":[122],"our":[123],"proposed":[124],"approach":[125],"shows":[126],"not":[128],"only":[129],"removed":[135],"more":[136],"effectively,":[137],"but":[138],"also":[139],"visual":[141],"quality":[142],"restored":[144],"images":[145],"improved.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
