{"id":"https://openalex.org/W4308235809","doi":"https://doi.org/10.1109/icip46576.2022.9897593","title":"Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network","display_name":"Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235809","doi":"https://doi.org/10.1109/icip46576.2022.9897593"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897593","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5069826751","display_name":"Baoshun Shi","orcid":"https://orcid.org/0000-0003-4643-3816"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210147734","display_name":"Hebei Mental Health Center","ror":"https://ror.org/045yjpn53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147734"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baoshun Shi","raw_affiliation_strings":["Yanshan University,School of Information Science and Engineering,China","Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","School of Information Science and Engineering, Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","institution_ids":["https://openalex.org/I4210147734"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080064249","display_name":"Yating Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147734","display_name":"Hebei Mental Health Center","ror":"https://ror.org/045yjpn53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147734"]},{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Gao","raw_affiliation_strings":["Yanshan University,School of Information Science and Engineering,China","Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","School of Information Science and Engineering, Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","institution_ids":["https://openalex.org/I4210147734"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024478685","display_name":"Ke Jiang","orcid":"https://orcid.org/0000-0002-1535-6822"},"institutions":[{"id":"https://openalex.org/I4210147734","display_name":"Hebei Mental Health Center","ror":"https://ror.org/045yjpn53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147734"]},{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Jiang","raw_affiliation_strings":["Yanshan University,School of Information Science and Engineering,China","Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","School of Information Science and Engineering, Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","institution_ids":["https://openalex.org/I4210147734"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011854667","display_name":"Qiusheng Lian","orcid":"https://orcid.org/0000-0002-0712-8459"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210147734","display_name":"Hebei Mental Health Center","ror":"https://ror.org/045yjpn53","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiusheng Lian","raw_affiliation_strings":["Yanshan University,School of Information Science and Engineering,China","School of Information Science and Engineering, Yanshan University, China","Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University,School of Information Science and Engineering,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Hebei Key Laboratory of Information Transmission and Signal Processing, Hebei Province, China","institution_ids":["https://openalex.org/I4210147734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069826751"],"corresponding_institution_ids":["https://openalex.org/I39333907","https://openalex.org/I4210147734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46527778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1746","last_page":"1750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9804999828338623,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.968999981880188,"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/computer-science","display_name":"Computer science","score":0.7330546975135803},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7266599535942078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6423888802528381},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5006465911865234},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47385814785957336},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.44960716366767883},{"id":"https://openalex.org/keywords/phase-retrieval","display_name":"Phase retrieval","score":0.44242992997169495},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4217776358127594},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.41152167320251465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4060555696487427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.332653284072876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18022263050079346},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15659186244010925},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.11938545107841492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330546975135803},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7266599535942078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6423888802528381},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5006465911865234},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47385814785957336},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.44960716366767883},{"id":"https://openalex.org/C81793267","wikidata":"https://www.wikidata.org/wiki/Q7180962","display_name":"Phase retrieval","level":3,"score":0.44242992997169495},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4217776358127594},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.41152167320251465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060555696487427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.332653284072876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18022263050079346},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15659186244010925},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.11938545107841492},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897593","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1980079540","https://openalex.org/W2000462146","https://openalex.org/W2047911951","https://openalex.org/W2256685641","https://openalex.org/W2509193460","https://openalex.org/W2612688942","https://openalex.org/W2755751583","https://openalex.org/W2799506533","https://openalex.org/W2803120452","https://openalex.org/W2963372104","https://openalex.org/W2963420686","https://openalex.org/W2981810212","https://openalex.org/W3019840949","https://openalex.org/W3083076704","https://openalex.org/W3106459670","https://openalex.org/W3133902371","https://openalex.org/W3140428646","https://openalex.org/W3171699820","https://openalex.org/W3179953624","https://openalex.org/W3202589818","https://openalex.org/W4226023058","https://openalex.org/W6767423860","https://openalex.org/W6796185131"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Recovering":[0],"the":[1,10,80,87,126,132,146,157],"image":[2],"of":[3,12,95],"interest":[4],"from":[5,24,92],"its":[6],"phaseless":[7],"measurement":[8],"is":[9,83],"goal":[11],"phase":[13,45],"retrieval":[14,46],"(PR).":[15],"Recent":[16],"PR":[17,88,134,159],"algorithms":[18,160],"that":[19,112,145],"use":[20],"hand-crafted":[21],"priors":[22,35],"suffer":[23],"low-quality":[25],"reconstructions.":[26],"To":[27],"cope":[28],"with":[29,125,156],"this":[30],"limitation,":[31],"we":[32,49,107,130],"exploit":[33],"structural":[34],"to":[36,85,136],"propose":[37],"a":[38,51,99,110,119,138],"novel":[39],"deep":[40,120,139,149],"unfolded":[41],"convolutional":[42,62,121],"sparse":[43,63],"coding":[44,64],"network.":[47],"Firstly,":[48],"formulate":[50],"weighted":[52],"\u2113":[53],"<inf":[54],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[56],"norm":[57],"(WL1)":[58],"minimization":[59],"problem":[60],"utilizing":[61],"for":[65],"PR,":[66],"and":[67,168],"solve":[68,86],"it":[69],"by":[70,97],"using":[71,98],"an":[72],"iterative":[73,133],"algorithm.":[74],"An":[75],"inertial":[76,81],"epigraph":[77],"method":[78],"employing":[79],"technique":[82],"proposed":[84],"subproblem.":[89],"Secondly,":[90],"differing":[91],"updating":[93],"weights":[94,117],"WL1":[96],"fixed":[100],"inverse":[101],"proportional":[102],"function":[103,111],"in":[104],"traditional":[105],"methods,":[106],"learn":[108],"such":[109],"can":[113,151],"determine":[114],"these":[115],"crucial":[116],"via":[118],"neural":[122],"network":[123,141,150],"equipped":[124],"attention":[127],"mechanism.":[128],"Finally,":[129],"unroll":[131],"algorithm":[135],"build":[137],"feedforward":[140],"architecture.":[142],"Experiments":[143],"demonstrate":[144],"resulting":[147],"model-based":[148],"recover":[152],"higherquality":[153],"images,":[154],"compared":[155],"existing":[158],"at":[161,172],"various":[162],"noise":[163],"levels.":[164],"The":[165],"testing":[166],"data":[167],"codes":[169],"are":[170],"published":[171],"https://github.com/shibaoshun/PRNet.":[173]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
