{"id":"https://openalex.org/W2678395448","doi":"https://doi.org/10.1109/icassp.2017.7952627","title":"Non-blind image deconvolution using deep dual-pathway rectifier neural network","display_name":"Non-blind image deconvolution using deep dual-pathway rectifier neural network","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2678395448","doi":"https://doi.org/10.1109/icassp.2017.7952627","mag":"2678395448"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952627","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 Acoustics, Speech and Signal Processing (ICASSP)","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/A5090427986","display_name":"Keting Zhang","orcid":"https://orcid.org/0000-0002-2124-8318"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Keting Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025171742","display_name":"Weichen Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichen Xue","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090427986"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2051,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55942394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2602","last_page":"2606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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":0.9991000294685364,"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/deconvolution","display_name":"Deconvolution","score":0.8877668380737305},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.8418885469436646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7655396461486816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334069013595581},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5959746241569519},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5943597555160522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5490251183509827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5347394347190857},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5328032970428467},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5130988359451294},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.49601754546165466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4814126491546631},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4759663939476013},{"id":"https://openalex.org/keywords/rectifier","display_name":"Rectifier (neural networks)","score":0.4448198080062866},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44154319167137146},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3032214045524597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22470608353614807},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1676894724369049},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.06457564234733582}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8877668380737305},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.8418885469436646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7655396461486816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334069013595581},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5959746241569519},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5943597555160522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5490251183509827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5347394347190857},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5328032970428467},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5130988359451294},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.49601754546165466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4814126491546631},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4759663939476013},{"id":"https://openalex.org/C50100734","wikidata":"https://www.wikidata.org/wiki/Q7303176","display_name":"Rectifier (neural networks)","level":5,"score":0.4448198080062866},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44154319167137146},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3032214045524597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22470608353614807},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1676894724369049},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.06457564234733582},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952627","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 Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W140273596","https://openalex.org/W1916935112","https://openalex.org/W1973567017","https://openalex.org/W1994321112","https://openalex.org/W2037642501","https://openalex.org/W2085927826","https://openalex.org/W2098477387","https://openalex.org/W2102017903","https://openalex.org/W2105464873","https://openalex.org/W2121927366","https://openalex.org/W2124964692","https://openalex.org/W2130975789","https://openalex.org/W2147298660","https://openalex.org/W2154571593","https://openalex.org/W2172275395","https://openalex.org/W2519758820","https://openalex.org/W4231109964","https://openalex.org/W6640118380","https://openalex.org/W6674855086","https://openalex.org/W6678856934","https://openalex.org/W6681807782"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2075075842","https://openalex.org/W2026824768"],"abstract_inverted_index":{"Recently":[0],"deep":[1,52],"neural":[2,55],"networks":[3],"have":[4],"been":[5],"successfully":[6],"used":[7],"for":[8],"natural":[9],"image":[10,70],"deconvolution.":[11],"Whereas":[12],"the":[13,21,65,78,91,98,102],"existing":[14],"methods":[15,67],"usually":[16],"involve":[17],"an":[18],"inversion":[19],"of":[20],"blur":[22],"followed":[23],"by":[24,88],"a":[25,33,39,42,46,51],"denoising":[26],"step.":[27],"In":[28],"this":[29],"paper":[30],"we":[31,81],"propose":[32],"pure":[34],"learning":[35],"approach":[36,63],"to":[37,45],"learn":[38],"mapping":[40],"from":[41],"blurred":[43],"patch":[44,48,100],"clean":[47,99],"directly":[49],"with":[50,101],"dual-pathway":[53],"rectifier":[54],"network.":[56],"The":[57],"experimental":[58],"results":[59],"show":[60,83],"that":[61,84],"our":[62,85],"outperform":[64],"state-of-the-art":[66],"on":[68],"non-blind":[69],"deconvolution":[71],"within":[72],"reasonable":[73],"training":[74],"time.":[75],"By":[76],"analyzing":[77],"learned":[79],"representations,":[80],"empirically":[82],"model":[86],"works":[87],"efficiently":[89],"detecting":[90],"blurry":[92],"input":[93],"patterns":[94],"and":[95],"then":[96],"reconstructing":[97],"corresponding":[103],"dictionary":[104],"atoms.":[105]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}