{"id":"https://openalex.org/W4392904259","doi":"https://doi.org/10.1109/icassp48485.2024.10448094","title":"DIFFSC: Semantic Communication Framework With Enhanced Denoising Through Diffusion Probabilistic Models","display_name":"DIFFSC: Semantic Communication Framework With Enhanced Denoising Through Diffusion Probabilistic Models","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904259","doi":"https://doi.org/10.1109/icassp48485.2024.10448094"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10448094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101395436","display_name":"Zeyu Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Jiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321192","display_name":"Xiaohong Liu","orcid":"https://orcid.org/0000-0002-0818-1059"},"institutions":[{"id":"https://openalex.org/I4210147892","display_name":"CRUK Lung Cancer Centre of Excellence","ror":"https://ror.org/04nm2mq63","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210147892"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaohong Liu","raw_affiliation_strings":["University College London,UCL Cancer Institute,London,United Kingdom","UCL Cancer Institute, University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London,UCL Cancer Institute,London,United Kingdom","institution_ids":["https://openalex.org/I4210147892","https://openalex.org/I45129253"]},{"raw_affiliation_string":"UCL Cancer Institute, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I4210147892","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633476","display_name":"Guoxing Yang","orcid":"https://orcid.org/0000-0002-1019-2021"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026268139","display_name":"Weizhi Li","orcid":"https://orcid.org/0009-0006-3587-8317"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044255518","display_name":"Aini Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aini Li","raw_affiliation_strings":["Peng Cheng Laboratory,Department of Mathematics and Theories,Shenzhen,China","Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Department of Mathematics and Theories,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066971089","display_name":"Guangyu Wang","orcid":"https://orcid.org/0000-0002-5581-6926"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China","State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,State Key Lab of Networking and Switching Technology,Beijing,China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13071","last_page":"13075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","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/T12357","display_name":"Digital Media Forensic Detection","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980000257492065,"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":0.8328672051429749},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5775025486946106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540381073951721},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5444267392158508},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5310400128364563},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5170960426330566},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5026209354400635},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49816322326660156},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4915407598018646},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4690582752227783},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4493713974952698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42476266622543335},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41064712405204773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3335341811180115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31634414196014404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20745420455932617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10510122776031494},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08468896150588989},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08120858669281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8328672051429749},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5775025486946106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540381073951721},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5444267392158508},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5310400128364563},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5170960426330566},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5026209354400635},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49816322326660156},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4915407598018646},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4690582752227783},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4493713974952698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42476266622543335},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41064712405204773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3335341811180115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31634414196014404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20745420455932617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10510122776031494},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08468896150588989},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08120858669281006},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10448094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10448094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2118217749","https://openalex.org/W2127060838","https://openalex.org/W2140196014","https://openalex.org/W2158807150","https://openalex.org/W2340897893","https://openalex.org/W2804156555","https://openalex.org/W2919234133","https://openalex.org/W2946889564","https://openalex.org/W2982101047","https://openalex.org/W3015786140","https://openalex.org/W4210680217","https://openalex.org/W4289752563","https://openalex.org/W4312978359","https://openalex.org/W4313387436","https://openalex.org/W4372346056","https://openalex.org/W4379933627","https://openalex.org/W6767312599","https://openalex.org/W6788990321","https://openalex.org/W6853140940"],"related_works":["https://openalex.org/W2161474341","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"In":[0],"communication":[1,17,47],"systems,":[2,121],"the":[3,51,142],"challenge":[4],"of":[5,144],"ensuring":[6],"accurate":[7],"data":[8],"transmission":[9,23],"across":[10],"noisy":[11],"channels":[12],"remains":[13],"paramount.":[14],"While":[15],"semantic":[16,46,73],"shows":[18],"potential":[19],"in":[20,34,81],"improving":[21,122],"image":[22,66,83],"and":[24,85,104,111,128,148],"reconstruction,":[25],"existing":[26,120],"methods":[27],"still":[28],"suffer":[29],"from":[30],"perceptual":[31],"quality":[32],"degradation":[33],"high-noise":[35],"environments.":[36],"To":[37],"address":[38],"these":[39],"issues,":[40],"we":[41,88],"introduce":[42],"DiffSC,":[43],"a":[44,90],"novel":[45],"framework":[48],"that":[49,96,116],"integrates":[50],"Diffusion":[52],"Probabilistic":[53],"Model":[54],"(DPM).":[55],"Within":[56],"DPM,":[57],"Gaussian":[58],"noise":[59],"modeling":[60],"is":[61,69],"leveraged":[62],"to":[63,71,108,135],"facilitate":[64],"enhanced":[65],"generation.":[67],"DiffSC":[68,117],"trained":[70],"recover":[72],"information":[74],"compromised":[75],"during":[76],"transmission,":[77],"amplifying":[78],"its":[79],"capabilities":[80],"both":[82],"reconstruction":[84],"denoising.":[86],"Additionally,":[87],"propose":[89],"Multi-Dimensional":[91],"Feature":[92],"Extraction":[93],"Module":[94],"(MFM)":[95],"employs":[97],"multiple":[98],"convolution":[99],"kernels":[100],"along":[101],"with":[102],"channel":[103],"spatial":[105],"attention":[106],"mechanisms":[107],"enrich":[109],"encoding":[110],"decoding.":[112],"Experimental":[113],"results":[114],"demonstrate":[115,141],"significantly":[118],"outperforms":[119],"SSIM":[123],"by":[124,130],"more":[125,131],"than":[126,132],"19%":[127],"PSNR":[129],"11%":[133],"compared":[134],"Deep":[136],"JSCC.":[137],"Further":[138],"ablation":[139],"studies":[140],"effectiveness":[143],"our":[145],"proposed":[146],"denoiser":[147],"feature":[149],"extraction":[150],"modules.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}