{"id":"https://openalex.org/W4296132040","doi":"https://doi.org/10.1155/2022/2254077","title":"Structures Guided Dynamic Scene Deblurring Method","display_name":"Structures Guided Dynamic Scene Deblurring Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296132040","doi":"https://doi.org/10.1155/2022/2254077"},"language":"en","primary_location":{"id":"doi:10.1155/2022/2254077","doi":"https://doi.org/10.1155/2022/2254077","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2254077","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2022/2254077.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2022/2254077.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078478247","display_name":"Qing Qi","orcid":"https://orcid.org/0000-0003-1342-3865","observed_orcids":["https://orcid.org/0000-0003-1342-3865"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qing Qi","raw_affiliation_strings":["Department of Physics and Electronics Information Engineering, Qinghai Minzu University, Xining, China"],"raw_orcid":"https://orcid.org/0000-0003-1342-3865","affiliations":[{"raw_affiliation_string":"Department of Physics and Electronics Information Engineering, Qinghai Minzu University, Xining, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5078478247"],"corresponding_institution_ids":[],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0017000000225380063,"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":0.0007999999797903001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.9629999995231628},{"id":"https://openalex.org/keywords/loss-function-design","display_name":"loss function design","score":0.7229999899864197},{"id":"https://openalex.org/keywords/image-restoration","display_name":"image restoration","score":0.5370000004768372},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.4429999887943268}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9920649528503418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.843757152557373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7385469675064087},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7122155427932739},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6280832886695862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6236564517021179},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.520650327205658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5193880200386047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5012712478637695},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4567493200302124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39645078778266907},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3161841034889221},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.24234411120414734},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.06428214907646179},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2022/2254077","doi":"https://doi.org/10.1155/2022/2254077","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2254077","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2022/2254077.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2022/2254077","doi":"https://doi.org/10.1155/2022/2254077","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2254077","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2022/2254077.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-c","cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296132040.pdf","grobid_xml":"https://content.openalex.org/works/W4296132040.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W1522301498","https://openalex.org/W1598281290","https://openalex.org/W1604428010","https://openalex.org/W1686810756","https://openalex.org/W1916935112","https://openalex.org/W1976730913","https://openalex.org/W2032506791","https://openalex.org/W2044005793","https://openalex.org/W2118456997","https://openalex.org/W2124964692","https://openalex.org/W2133665775","https://openalex.org/W2155919504","https://openalex.org/W2164570415","https://openalex.org/W2167307343","https://openalex.org/W2300657047","https://openalex.org/W2319561215","https://openalex.org/W2331128040","https://openalex.org/W2396267364","https://openalex.org/W2465552163","https://openalex.org/W2468652750","https://openalex.org/W2474628748","https://openalex.org/W2520164769","https://openalex.org/W2523532944","https://openalex.org/W2552465644","https://openalex.org/W2560533888","https://openalex.org/W2564023417","https://openalex.org/W2605135824","https://openalex.org/W2752782242","https://openalex.org/W2767009334","https://openalex.org/W2768546798","https://openalex.org/W2798735168","https://openalex.org/W2893595367","https://openalex.org/W2895327470","https://openalex.org/W2900866069","https://openalex.org/W2961218591","https://openalex.org/W2962793481","https://openalex.org/W2963130865","https://openalex.org/W2963420686","https://openalex.org/W2964030969","https://openalex.org/W2964121744","https://openalex.org/W2964162160","https://openalex.org/W2967085153","https://openalex.org/W2969134192","https://openalex.org/W2971483169","https://openalex.org/W2982795046","https://openalex.org/W3034724715","https://openalex.org/W3045222462","https://openalex.org/W4206077960","https://openalex.org/W4236387761","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4392008421","https://openalex.org/W4406893492","https://openalex.org/W4308094082","https://openalex.org/W2980272608","https://openalex.org/W4386468747","https://openalex.org/W2920778950","https://openalex.org/W4292136513","https://openalex.org/W2971112266","https://openalex.org/W4312128004","https://openalex.org/W4293020273"],"abstract_inverted_index":{"In":[0,62],"this":[1],"paper,":[2],"we":[3,85,102,128],"integrate":[4],"image":[5,24,37,45,76,82,108,140],"gradient":[6,41,83],"priors":[7,42],"into":[8],"a":[9,51,71,104],"generative":[10],"adversarial":[11],"networks":[12],"(GANs)":[13],"to":[14,64,74,106,133],"deal":[15],"with":[16],"the":[17,29,44,57,67,79,89,99,125,135,144],"dynamic":[18],"scene":[19],"deblurring":[20,25,141],"task.":[21],"Even":[22],"though":[23],"has":[26],"progressed":[27],"significantly,":[28],"deep":[30,161],"learning\u2010based":[31],"methods":[32],"rarely":[33],"take":[34],"advantage":[35,154],"of":[36,59,81,91,147,155],"gradients":[38,109],"priors.":[39],"Image":[40],"regularize":[43],"recovery":[46],"process":[47],"and":[48,94,112,151,168],"serve":[49],"as":[50],"quantitative":[52],"evaluation":[53],"metric":[54],"for":[55],"evaluating":[56],"quality":[58],"deblurred":[60],"images.":[61],"contrast":[63],"previous":[65],"methods,":[66],"proposed":[68,139],"model":[69,174],"utilizes":[70],"data\u2010driven":[72],"way":[73],"learn":[75],"gradients.":[77],"Under":[78],"guidance":[80],"priors,":[84],"permeate":[86],"it":[87],"throughout":[88],"design":[90],"network":[92,100,136],"structures":[93],"target":[95,130],"loss":[96,126,131],"functions.":[97],"For":[98,124],"architecture,":[101],"develop":[103],"GradientNet":[105],"compute":[107],"via":[110],"horizontal":[111],"vertical":[113],"directions":[114],"in":[115],"parallel":[116],"rather":[117],"than":[118],"adopt":[119],"traditional":[120],"edge":[121],"detection":[122],"operators.":[123],"functions,":[127],"propose":[129],"functions":[132],"constrain":[134],"training.":[137],"The":[138],"strategy":[142],"discards":[143],"tedious":[145],"steps":[146],"solving":[148],"optimization":[149],"equations":[150],"taking":[152],"further":[153],"learning":[156],"massive":[157],"data":[158],"features":[159],"through":[160],"learning.":[162],"Extensive":[163],"experiments":[164],"on":[165],"synthetic":[166],"datasets":[167],"real\u2010world":[169],"images":[170],"demonstrate":[171],"that":[172],"our":[173],"outperforms":[175],"state\u2010of\u2010the\u2010art":[176],"(SOAT)":[177],"methods.":[178]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2022-09-17T00:00:00"}