{"id":"https://openalex.org/W2342567340","doi":"https://doi.org/10.1109/vcip.2015.7457886","title":"Compressive sensing based image transmission with side information at the decoder","display_name":"Compressive sensing based image transmission with side information at the decoder","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2342567340","doi":"https://doi.org/10.1109/vcip.2015.7457886","mag":"2342567340"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2015.7457886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","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/A5090982546","display_name":"Xiaodan Song","orcid":"https://orcid.org/0000-0002-8049-1828"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodan Song","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024977056","display_name":"Xiulian Peng","orcid":"https://orcid.org/0000-0001-8213-4878"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulian Peng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727196","display_name":"Jizheng Xu","orcid":"https://orcid.org/0009-0005-4563-6787"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizheng Xu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["University of Science and Technology of China, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090982546"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.6498,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71846396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/decoding-methods","display_name":"Decoding methods","score":0.7193223834037781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7183218002319336},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5588626265525818},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5128860473632812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4910259246826172},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.46703478693962097},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4582284390926361},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.45663076639175415},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41626518964767456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34567171335220337},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25964391231536865},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20510923862457275}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7193223834037781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7183218002319336},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5588626265525818},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5128860473632812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4910259246826172},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.46703478693962097},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4582284390926361},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.45663076639175415},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41626518964767456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34567171335220337},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25964391231536865},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20510923862457275}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2015.7457886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2015.7457886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1556478844","https://openalex.org/W2018990310","https://openalex.org/W2052143650","https://openalex.org/W2055260731","https://openalex.org/W2099797119","https://openalex.org/W2145096794","https://openalex.org/W2152034440","https://openalex.org/W2155792383","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6633288927"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2801815023"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,46,70,103,140,149],"distributed":[4],"compressive":[5],"sensing":[6],"(CS)":[7],"scheme":[8],"for":[9],"robust":[10],"image":[11,56,127,197],"transmission":[12,198],"over":[13],"unknown":[14,175],"or":[15],"time-varying":[16],"channels":[17],"with":[18,131,193],"highly":[19,41,203],"correlated":[20,42,204],"images":[21,43,172,205],"at":[22,50,188,208],"the":[23,51,59,80,118,121,125,129,132,155,161,166,194,209],"decoder.":[24,52,210],"A":[25],"compressed":[26],"thumbnail":[27,61],"is":[28,62,107,157,186],"first":[29],"transmitted":[30,66],"after":[31,57],"digital":[32],"forward":[33],"error":[34],"correction":[35],"(FEC)":[36],"and":[37,44,65,86,96,128,173],"modulation":[38],"to":[39,92,112,164,182],"retrieve":[40],"generate":[45],"side":[47],"information":[48],"(SI)":[49],"The":[53,76],"current":[54],"residual":[55,81],"subtracting":[58],"decompressed":[60],"then":[63],"coded":[64],"by":[67,83],"CS":[68,84,137,147],"through":[69],"very":[71],"dense":[72],"constellation":[73],"without":[74,99],"FEC.":[75],"linear":[77],"representation":[78],"of":[79],"signal":[82],"measurements":[85],"rateless":[87],"sampling":[88,111],"makes":[89],"it":[90],"able":[91],"achieve":[93],"graceful":[94],"degradation":[95],"bandwidth":[97],"scalability":[98],"channel":[100,115,177,190],"feedback.":[101],"Moreover,":[102],"transform-domain":[104],"power":[105],"allocation":[106],"employed":[108],"before":[109],"random":[110],"protect":[113],"against":[114],"errors.":[116],"At":[117],"decoder,":[119],"both":[120],"nonlocal":[122],"correlations":[123],"within":[124],"original":[126],"correlation":[130],"SI":[133,156],"are":[134,206],"exploited":[135],"in":[136,160],"decoding":[138],"via":[139],"low-rank":[141],"regulation":[142],"on":[143,170],"similar":[144],"patches.":[145],"After":[146],"decoding,":[148],"block-wise":[150],"minimum-mean-square-error":[151],"(MMSE)":[152],"reconstruction":[153,167],"using":[154],"further":[158],"performed":[159],"spatial":[162],"domain":[163],"enhance":[165],"quality.":[168],"Simulations":[169],"landmark":[171],"an":[174,180],"Gaussian":[176],"show":[178],"that":[179],"up":[181],"10":[183],"dB":[184],"gain":[185],"achieved":[187],"low":[189],"SNRs":[191],"compared":[192],"state-of-the-art":[195],"uncoded":[196],"scheme,":[199],"i.e.":[200],"SoftCast,":[201],"when":[202],"available":[207]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
