{"id":"https://openalex.org/W2908736135","doi":"https://doi.org/10.1109/dicta.2018.8615824","title":"Image Restoration Based on Deep Convolutional Network in Wavefront Coding Imaging System","display_name":"Image Restoration Based on Deep Convolutional Network in Wavefront Coding Imaging System","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2908736135","doi":"https://doi.org/10.1109/dicta.2018.8615824","mag":"2908736135"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5046421193","display_name":"Haoyuan Du","orcid":"https://orcid.org/0000-0001-8952-2355"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyuan Du","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102855776","display_name":"Liquan Dong","orcid":"https://orcid.org/0009-0000-0095-8583"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Dong","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773522","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0001-8504-1335"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076517059","display_name":"Yuejin Zhao","orcid":"https://orcid.org/0000-0003-0528-3014"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejin Zhao","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395308","display_name":"Wei Jia","orcid":"https://orcid.org/0000-0001-5628-6237"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jia","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370790","display_name":"Xiaohua Liu","orcid":"https://orcid.org/0000-0003-0384-5431"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Liu","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630091","display_name":"Mei Hui","orcid":"https://orcid.org/0000-0002-0947-4267"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Hui","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076259590","display_name":"Lingqin Kong","orcid":"https://orcid.org/0000-0002-5815-7698"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingqin Kong","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049976796","display_name":"Qun Hao","orcid":"https://orcid.org/0000-0002-9819-731X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Hao","raw_affiliation_strings":["Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, Beijing institute of technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5046421193"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57610403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9987000226974487,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7143471240997314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130370140075684},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6960922479629517},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5416633486747742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5047832727432251},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43582087755203247},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4291003942489624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4200180172920227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4113743305206299},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36669427156448364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30314886569976807}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7143471240997314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130370140075684},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6960922479629517},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5416633486747742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5047832727432251},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43582087755203247},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4291003942489624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4200180172920227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4113743305206299},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36669427156448364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30314886569976807}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1457323852","https://openalex.org/W1658472922","https://openalex.org/W1686810756","https://openalex.org/W1791560514","https://openalex.org/W1799366690","https://openalex.org/W1861492603","https://openalex.org/W1885185971","https://openalex.org/W1903029394","https://openalex.org/W1924619199","https://openalex.org/W1972894209","https://openalex.org/W1983348509","https://openalex.org/W2047920195","https://openalex.org/W2064000601","https://openalex.org/W2088909704","https://openalex.org/W2095520285","https://openalex.org/W2099471712","https://openalex.org/W2108598243","https://openalex.org/W2113016023","https://openalex.org/W2125389028","https://openalex.org/W2135132556","https://openalex.org/W2170608748","https://openalex.org/W2194775991","https://openalex.org/W2339754110","https://openalex.org/W2508457857","https://openalex.org/W2576674590","https://openalex.org/W2613718673","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963312584","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2963920537","https://openalex.org/W4239072543","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6703724764","https://openalex.org/W6735913928"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W4375867731","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Wavefront":[0],"coding":[1],"(WFC)":[2],"is":[3,24,71],"a":[4,25,56],"prosperous":[5],"technology":[6],"for":[7,62,75,177],"extending":[8],"depth":[9],"of":[10,20,59],"field":[11],"(DOF)":[12],"in":[13,65,79,116],"the":[14,21,31,36,72,110,123,126,143,150,156,171],"incoherent":[15],"imaging":[16],"system.":[17],"Digital":[18],"recovery":[19],"WFC":[22],"technique":[23],"classical":[26],"ill-conditioned":[27],"problem":[28],"by":[29],"removing":[30],"blurring":[32],"effect":[33],"and":[34,50,83,97,164,182],"suppressing":[35,183],"noise.":[37],"Traditional":[38],"approaches":[39,176],"relying":[40],"on":[41,108,129,159],"image":[42,157,163],"heuristics":[43],"suffer":[44],"from":[45,149],"high":[46,120,179],"frequency":[47,180],"noise":[48,85,147,184],"amplification":[49],"processing":[51],"artifacts.":[52],"This":[53],"paper":[54],"investigates":[55],"general":[57],"framework":[58],"neural":[60],"networks":[61,78,95,173],"restoring":[63,178],"images":[64],"WFC.":[66,80],"To":[67],"our":[68],"knowledge,":[69],"this":[70],"first":[73],"attempt":[74],"applying":[76],"convolutional":[77,94],"The":[81,105,167],"blur":[82],"additive":[84],"are":[86,103],"considered":[87],"simultaneously.":[88],"Two":[89],"solutions":[90],"respectively":[91],"exploiting":[92],"fully":[93],"(FCN)":[96],"conditional":[98],"Generative":[99],"Adversarial":[100],"Networks":[101],"(CGAN)":[102],"presented.":[104],"FCN":[106],"based":[107,128],"minimizing":[109],"mean":[111],"squared":[112],"reconstruction":[113],"error":[114],"(MSE)":[115],"pixel":[117],"space":[118],"gets":[119],"PSNR.":[121],"On":[122],"other":[124],"side,":[125],"CGAN":[127],"perceptual":[130],"loss":[131],"optimization":[132],"criterion":[133],"retrieves":[134],"more":[135],"textures.":[136],"We":[137,153],"conduct":[138],"comparison":[139],"experiments":[140],"to":[141],"demonstrate":[142],"performance":[144],"at":[145],"different":[146],"levels":[148],"training":[151],"configuration.":[152],"also":[154],"reveal":[155],"quality":[158],"non-natural":[160],"test":[161],"target":[162],"defocused":[165],"situation.":[166],"results":[168],"indicate":[169],"that":[170],"proposed":[172],"outperform":[174],"traditional":[175],"details":[181],"effectively.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
