{"id":"https://openalex.org/W3158118997","doi":"https://doi.org/10.1109/ciss50987.2021.9400273","title":"Image Deblurring using Multi-Scale Dilated Convolutions in a LSTM-based Neural Network","display_name":"Image Deblurring using Multi-Scale Dilated Convolutions in a LSTM-based Neural Network","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3158118997","doi":"https://doi.org/10.1109/ciss50987.2021.9400273","mag":"3158118997"},"language":"en","primary_location":{"id":"doi:10.1109/ciss50987.2021.9400273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","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/A5049391434","display_name":"Greig Richmond","orcid":null},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greig Richmond","raw_affiliation_strings":["Morgan State University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Morgan State University, Baltimore, MD","institution_ids":["https://openalex.org/I83909951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060680211","display_name":"Arlene Cole-Rhodes","orcid":"https://orcid.org/0000-0002-7680-4051"},"institutions":[{"id":"https://openalex.org/I83909951","display_name":"Morgan State University","ror":"https://ror.org/017d8gk22","country_code":"US","type":"education","lineage":["https://openalex.org/I83909951"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arlene Cole-Rhodes","raw_affiliation_strings":["Morgan State University, Baltimore, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Morgan State University, Baltimore, MD","institution_ids":["https://openalex.org/I83909951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83909951"],"apc_list":null,"apc_paid":null,"fwci":0.4774,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70913446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9959999918937683,"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/deblurring","display_name":"Deblurring","score":0.9960839748382568},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.7396057844161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043517827987671},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6592791676521301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281432509422302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6100195646286011},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5954895615577698},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5638723969459534},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5340209603309631},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5126873254776001},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48644208908081055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33442172408103943},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2956613004207611},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2600068747997284}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9960839748382568},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7396057844161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043517827987671},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6592791676521301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281432509422302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6100195646286011},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5954895615577698},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5638723969459534},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5340209603309631},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5126873254776001},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48644208908081055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33442172408103943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2956613004207611},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2600068747997284},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss50987.2021.9400273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss50987.2021.9400273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 55th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1604428010","https://openalex.org/W2027231794","https://openalex.org/W2194775991","https://openalex.org/W2560533888","https://openalex.org/W2936020140","https://openalex.org/W2963840672","https://openalex.org/W2964030969","https://openalex.org/W2964077901","https://openalex.org/W6628877408","https://openalex.org/W6631943919","https://openalex.org/W6696085341"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W3153582293","https://openalex.org/W2905397092","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960","https://openalex.org/W2364399933"],"abstract_inverted_index":{"This":[0],"work":[1],"describes":[2],"the":[3,11,41,71,78,126],"development":[4],"of":[5,16,43,62,73,80,101,129],"a":[6,17,112,122],"compact":[7],"neural":[8],"network":[9,27,57,130],"for":[10,30],"blind":[12,105],"deconvolution":[13],"and":[14,46,65,91,94],"restoration":[15],"blurred":[18],"image.":[19],"A":[20],"scale-based,":[21],"convolutional,":[22],"long-short":[23],"term":[24],"memory":[25],"(LSTM)":[26],"is":[28,38,48,58],"developed":[29],"image":[31,69,115],"deblurring.":[32],"In":[33],"this":[34,47,81],"network,":[35],"multi-scale":[36],"information":[37],"obtained":[39],"through":[40,83],"use":[42,72],"dilated":[44],"convolutions":[45],"shared":[49],"between":[50],"scales":[51],"using":[52],"recurrent":[53],"connections.":[54],"The":[55],"proposed":[56],"designed":[59],"to":[60,66],"be":[61,117],"low-parameter":[63],"count":[64],"deblur":[67],"an":[68],"without":[70],"prior":[74],"information.":[75],"We":[76],"show":[77,110],"effectiveness":[79],"approach":[82],"evaluation":[84],"with":[85,99,121],"industry":[86],"standard":[87],"datasets":[88],"(GOPRO":[89],"[2]":[90],"Kohler":[92],"[10]),":[93],"we":[95],"compare":[96],"our":[97],"results":[98,109],"those":[100],"two":[102],"other":[103],"state-of-the-art":[104],"deblurring":[106],"networks.":[107],"Our":[108],"that":[111],"comparable":[113],"sharp":[114],"can":[116],"recovered":[118],"more":[119],"efficiently":[120],"significant":[123],"reduction":[124],"in":[125],"total":[127],"number":[128],"parameters.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
