{"id":"https://openalex.org/W4385486275","doi":"https://doi.org/10.1109/tmm.2023.3301213","title":"Rate-Adaptive Neural Network for Image Compressive Sensing","display_name":"Rate-Adaptive Neural Network for Image Compressive Sensing","publication_year":2023,"publication_date":"2023-08-02","ids":{"openalex":"https://openalex.org/W4385486275","doi":"https://doi.org/10.1109/tmm.2023.3301213"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3301213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3301213","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5101409150","display_name":"Hui Chen","orcid":"https://orcid.org/0000-0003-3739-0973"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Hui","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3739-0973","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084025984","display_name":"Shengping Zhang","orcid":"https://orcid.org/0000-0001-5200-3420"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengping Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5200-3420","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103110273","display_name":"Wenxue Cui","orcid":"https://orcid.org/0000-0001-8656-0954"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8656-0954","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445780","display_name":"Shaohui Liu","orcid":"https://orcid.org/0000-0002-1810-5412"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1810-5412","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864573","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0001-8342-1211"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8342-1211","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600353","display_name":"Debin Zhao","orcid":"https://orcid.org/0000-0003-3434-9967"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3434-9967","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":3.6722,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94088801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"2515","last_page":"2530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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":0.9958999752998352,"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":0.8015795946121216},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7115095853805542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6880069971084595},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6046319007873535},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5880595445632935},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.58668053150177},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5723381042480469},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.551551103591919},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.47878706455230713},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.474710613489151},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47467875480651855},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4453224539756775},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4352349638938904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3319051265716553},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32185453176498413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10154306888580322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015795946121216},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7115095853805542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6880069971084595},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6046319007873535},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5880595445632935},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.58668053150177},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5723381042480469},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.551551103591919},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.47878706455230713},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.474710613489151},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47467875480651855},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4453224539756775},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4352349638938904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3319051265716553},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32185453176498413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10154306888580322},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3301213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3301213","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G501923587","display_name":null,"funder_award_id":"CSTB2022NSCQ-MSX0922","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G6569862357","display_name":null,"funder_award_id":"62272128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1976078268","https://openalex.org/W2018990310","https://openalex.org/W2031489346","https://openalex.org/W2045737896","https://openalex.org/W2047920195","https://openalex.org/W2056370875","https://openalex.org/W2082029531","https://openalex.org/W2100556411","https://openalex.org/W2110158442","https://openalex.org/W2115706991","https://openalex.org/W2119275775","https://openalex.org/W2121194215","https://openalex.org/W2121927366","https://openalex.org/W2126607811","https://openalex.org/W2129131372","https://openalex.org/W2129812098","https://openalex.org/W2134033146","https://openalex.org/W2138722660","https://openalex.org/W2156043924","https://openalex.org/W2172169111","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2331128040","https://openalex.org/W2345337169","https://openalex.org/W2500374603","https://openalex.org/W2524642371","https://openalex.org/W2543013670","https://openalex.org/W2552808051","https://openalex.org/W2562637781","https://openalex.org/W2607041014","https://openalex.org/W2621651092","https://openalex.org/W2736981815","https://openalex.org/W2757720380","https://openalex.org/W2761547474","https://openalex.org/W2798559986","https://openalex.org/W2891879697","https://openalex.org/W2909911569","https://openalex.org/W2911737132","https://openalex.org/W2962895431","https://openalex.org/W2963081547","https://openalex.org/W2963729034","https://openalex.org/W2963741402","https://openalex.org/W2964082260","https://openalex.org/W2964178808","https://openalex.org/W2980149757","https://openalex.org/W3009991223","https://openalex.org/W3018622322","https://openalex.org/W3034337578","https://openalex.org/W3048134800","https://openalex.org/W3081833727","https://openalex.org/W3098593035","https://openalex.org/W3102722370","https://openalex.org/W3115447952","https://openalex.org/W3122121439","https://openalex.org/W3167568784","https://openalex.org/W3190499751","https://openalex.org/W3207346178","https://openalex.org/W3207407006","https://openalex.org/W3211538617","https://openalex.org/W4200596895","https://openalex.org/W4220744054","https://openalex.org/W4226119529","https://openalex.org/W4234992901","https://openalex.org/W4250955649","https://openalex.org/W4288054364","https://openalex.org/W4292387271","https://openalex.org/W4293518946","https://openalex.org/W4299851355","https://openalex.org/W4312271162","https://openalex.org/W4313524853","https://openalex.org/W6629927927","https://openalex.org/W6704408313","https://openalex.org/W6721078792","https://openalex.org/W6754415111","https://openalex.org/W6789536092","https://openalex.org/W6810387030"],"related_works":["https://openalex.org/W1598401975","https://openalex.org/W2577364290","https://openalex.org/W2541128885","https://openalex.org/W2094238738","https://openalex.org/W1769766618","https://openalex.org/W2101992317","https://openalex.org/W2033534994","https://openalex.org/W2130228941","https://openalex.org/W2092706821","https://openalex.org/W4210427169"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"image":[2,41,54,65,84,109,135,171],"compressive":[3],"sensing":[4],"(CS)":[5],"methods":[6],"have":[7],"achieved":[8],"great":[9],"success":[10],"in":[11,52,107],"the":[12,30,38,47,79,83,100,113,139,160,174,191,197,212,219],"past":[13],"few":[14],"years.":[15],"However,":[16],"most":[17],"of":[18,40,49,82,133,163],"them":[19],"are":[20,166,187],"content-independent,":[21],"with":[22,43,85],"a":[23,62,86,90,118,126,147,153,178],"spatially":[24],"uniform":[25],"sampling":[26,74,101,128,134,144],"rate":[27,75,102],"allocation":[28,76,103],"for":[29,104],"entire":[31],"image.":[32,116],"Such":[33],"practises":[34],"may":[35],"potentially":[36],"degrade":[37],"performance":[39],"CS":[42,66,198],"block-based":[44],"sampling,":[45],"since":[46],"content":[48,80],"different":[50,105,164],"blocks":[51,106,136,172],"an":[53,108,183],"is":[55,95,122,131],"different.":[56],"In":[57],"this":[58],"article,":[59],"we":[60],"propose":[61],"novel":[63],"rate-adaptive":[64],"neural":[67],"network":[68],"(dubbed":[69],"RACSNet)":[70],"to":[71,98,112,124,137,169,189],"achieve":[72],"adaptive":[73],"based":[77],"on":[78,202],"characteristics":[81],"single":[87],"model.":[88],"Specifically,":[89],"measurement":[91,161],"domain-based":[92],"reconstruction":[93,150,156,179],"distortion":[94,180],"first":[96],"used":[97],"guide":[99],"without":[110],"access":[111],"ground":[114],"truth":[115],"Then,":[117],"step-wise":[119],"training":[120],"strategy":[121],"designed":[123],"train":[125],"reusable":[127],"matrix,":[129],"which":[130],"capable":[132],"generate":[138],"compressed":[140,175],"measurements":[141],"under":[142],"arbitrary":[143],"rates.":[145],"Subsequently,":[146],"pyramid-shaped":[148],"initial":[149],"sub-network":[151,157],"and":[152,182,194,206],"hierarchical":[154],"deep":[155],"that":[158,211],"fuse":[159],"information":[162],"scales":[165],"put":[167],"forward":[168],"reconstruct":[170],"from":[173],"measurements.":[176],"Finally,":[177],"map":[181],"improved":[184],"loss":[185],"function":[186],"developed":[188],"eliminate":[190],"blocking":[192],"artifacts":[193],"further":[195],"enhance":[196],"reconstruction.":[199],"Experimental":[200],"results":[201],"both":[203],"objective":[204],"metrics":[205],"subjective":[207],"visual":[208],"qualities":[209],"show":[210],"proposed":[213],"RACSNet":[214],"achieves":[215],"significant":[216],"improvements":[217],"over":[218],"state-of-the-art":[220],"methods.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}