{"id":"https://openalex.org/W2111167594","doi":"https://doi.org/10.1109/robio.2009.5420855","title":"Time series modeling for an adaptive visibility improvement of the outdoor image sequences in wavelet domain","display_name":"Time series modeling for an adaptive visibility improvement of the outdoor image sequences in wavelet domain","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2111167594","doi":"https://doi.org/10.1109/robio.2009.5420855","mag":"2111167594"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2009.5420855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5030777915","display_name":"Haoting Liu","orcid":"https://orcid.org/0000-0003-2537-6138"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"LIU Haoting","raw_affiliation_strings":["Laboratory of System Usability Evaluation, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of System Usability Evaluation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102146397","display_name":"Hanqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LU Hanqing","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103986080","display_name":"Fenggang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163738","display_name":"China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210163738"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XU Fenggang","raw_affiliation_strings":["Astronaut Research and Training Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Astronaut Research and Training Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210163738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030777915"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14464534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1247","last_page":"1252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983999729156494,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"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/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7631845474243164},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6907714009284973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6863659620285034},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6531765460968018},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6464017629623413},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.5797770619392395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5145070552825928},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.45252931118011475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42537885904312134},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4207964539527893},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.40008583664894104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21198371052742004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19033440947532654},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09786361455917358}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7631845474243164},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6907714009284973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863659620285034},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6531765460968018},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6464017629623413},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.5797770619392395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5145070552825928},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45252931118011475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42537885904312134},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4207964539527893},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.40008583664894104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21198371052742004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19033440947532654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09786361455917358},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2009.5420855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W204530226","https://openalex.org/W1501633087","https://openalex.org/W1519631210","https://openalex.org/W1568582546","https://openalex.org/W1627684431","https://openalex.org/W1766735015","https://openalex.org/W2045844884","https://openalex.org/W2091856607","https://openalex.org/W2099234808","https://openalex.org/W2109468805","https://openalex.org/W2112515787","https://openalex.org/W2117523508","https://openalex.org/W2123996346","https://openalex.org/W2125979918","https://openalex.org/W2127152827","https://openalex.org/W2138273633","https://openalex.org/W2159040314","https://openalex.org/W2169447236","https://openalex.org/W2358522846","https://openalex.org/W6630003010","https://openalex.org/W6634084077","https://openalex.org/W6638003242"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2146461990","https://openalex.org/W4312309719","https://openalex.org/W4391216528","https://openalex.org/W2980748541","https://openalex.org/W4399581288","https://openalex.org/W4313123484"],"abstract_inverted_index":{"Under":[0],"a":[1,10,26,38,61],"complex":[2,130],"atmosphere,":[3],"the":[4,54,66,75,85,88,96,125,129,142,145,151],"visibility":[5],"of":[6,53,65,74,87,128,144,155],"images":[7],"captured":[8],"by":[9,46,95],"moving":[11,112],"camera":[12],"needs":[13],"to":[14,19,36,71,83,123,138],"be":[15],"enhanced":[16],"so":[17],"as":[18],"overcome":[20],"various":[21],"atmospheric":[22],"perturbations.":[23],"To":[24],"achieve":[25],"stable":[27],"and":[28,50,116,140,153],"robust":[29],"performance,":[30],"in":[31,43,158],"this":[32],"paper,":[33],"we":[34,58,77,101,133],"propose":[35],"build":[37,102],"time":[39,104],"series":[40,105],"based":[41,90],"model":[42,115,122],"wavelet":[44,89],"domain":[45],"employing":[47],"both":[48],"spatial":[49],"temporal":[51],"information":[52],"sequential":[55],"images.":[56],"First,":[57],"set":[59],"up":[60],"blind":[62],"evaluation":[63],"criteria":[64,97],"image":[67],"quality":[68],"(IQ).":[69],"Second,":[70],"each":[72],"frame":[73],"sequence,":[76],"utilize":[78,134],"an":[79,109,117],"adaptive":[80,146],"computation":[81],"framework":[82],"improve":[84,141],"performance":[86],"algorithm,":[91],"which":[92],"is":[93],"controlled":[94],"above.":[98],"After":[99],"that,":[100],"two":[103,136],"models":[106,137],"separately,":[107],"i.e.,":[108],"autoregressive":[110,118],"integrated":[111],"average":[113],"(ARIMA)":[114],"conditional":[119],"heteroscedasticity":[120],"(ARCH)":[121],"fit":[124],"parameters":[126],"change":[127],"atmosphere.":[131],"Finally,":[132],"these":[135],"guide":[139],"adjustment":[143],"calculation.":[147],"Experiment":[148],"results":[149],"demonstrate":[150],"effectiveness":[152],"robustness":[154],"our":[156],"solution":[157],"many":[159],"outdoor":[160],"applications.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}