{"id":"https://openalex.org/W2052637449","doi":"https://doi.org/10.12720/jcm.9.4.371-378","title":"ASPL-APBT Algorithm for Block Compressed Sensing Image Reconstruction","display_name":"ASPL-APBT Algorithm for Block Compressed Sensing Image Reconstruction","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2052637449","doi":"https://doi.org/10.12720/jcm.9.4.371-378","mag":"2052637449"},"language":"en","primary_location":{"id":"doi:10.12720/jcm.9.4.371-378","is_oa":false,"landing_page_url":"https://doi.org/10.12720/jcm.9.4.371-378","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Communications","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/A5012919056","display_name":"Aiping Yang","orcid":"https://orcid.org/0000-0002-4469-2702"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aiping Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071147910","display_name":"Gai Li","orcid":"https://orcid.org/0000-0002-4340-0413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gai Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025774560","display_name":"Zhengxing Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengxing Hou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654736","display_name":"Yuqing He","orcid":"https://orcid.org/0000-0001-5067-1169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuqing He","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012919056"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10382987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"371","last_page":"378"},"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":0.9995999932289124,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.6972557306289673},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6962851285934448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6795233488082886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550692915916443},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6507382392883301},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6132521629333496},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6021239757537842},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5589550733566284},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5061928629875183},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49018317461013794},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.42465686798095703},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.36862295866012573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34584927558898926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2654150128364563}],"concepts":[{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.6972557306289673},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6962851285934448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6795233488082886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550692915916443},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6507382392883301},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6132521629333496},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6021239757537842},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5589550733566284},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5061928629875183},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49018317461013794},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.42465686798095703},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.36862295866012573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34584927558898926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2654150128364563},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.12720/jcm.9.4.371-378","is_oa":false,"landing_page_url":"https://doi.org/10.12720/jcm.9.4.371-378","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W67772112","https://openalex.org/W1502593327","https://openalex.org/W1546108826","https://openalex.org/W1989171251","https://openalex.org/W1989436614","https://openalex.org/W2042671894","https://openalex.org/W2100037283","https://openalex.org/W2109449402","https://openalex.org/W2129812098","https://openalex.org/W2145096794","https://openalex.org/W2146842127","https://openalex.org/W2154304330","https://openalex.org/W2159563318","https://openalex.org/W2171783193","https://openalex.org/W2296616510","https://openalex.org/W2357929426","https://openalex.org/W2543013670","https://openalex.org/W2602441275","https://openalex.org/W4238043473","https://openalex.org/W4250955649","https://openalex.org/W6629927927","https://openalex.org/W6632588127","https://openalex.org/W6668902313","https://openalex.org/W6679164396"],"related_works":["https://openalex.org/W2002704363","https://openalex.org/W2377588290","https://openalex.org/W2326317736","https://openalex.org/W2389135727","https://openalex.org/W1967763791","https://openalex.org/W2058719641","https://openalex.org/W1496843484","https://openalex.org/W2373313192","https://openalex.org/W1979714115","https://openalex.org/W2896778670"],"abstract_inverted_index":{"\uf020":[0],"Abstract\u2014Based":[1],"on":[2],"the":[3,24,28,35,41,51,65,72,79,84,97,102,112,116,130,138,142],"block":[4],"compressed":[5],"sensing":[6],"(BCS)":[7],"framework,":[8],"a":[9],"new":[10],"and":[11,31,47,64,141],"non-orthogonal":[12],"transform":[13,18,55,59],"named":[14],"all":[15],"phase":[16],"biorthogonal":[17],"(APBT)":[19],"is":[20,92,106],"introduced":[21],"to":[22,34,71,77],"exploit":[23],"image":[25,37],"sparsity,":[26],"reduce":[27],"encoding":[29],"complexity":[30,63],"be":[32],"applicable":[33,70],"blocked":[36,73],"easily.":[38],"APBT":[39],"exploits":[40],"signal":[42],"sparsity":[43],"better":[44],"than":[45],"DCT,":[46],"meanwhile":[48],"it":[49],"overcomes":[50],"defects":[52],"of":[53,67,81,118,132,137],"multiscale":[54],"such":[56],"as":[57],"wavelet":[58],"with":[60,96,123],"high":[61],"computational":[62],"feature":[66],"not":[68,127],"being":[69],"image.":[74],"In":[75],"order":[76],"improve":[78],"efficiency":[80],"BCS":[82],"reconstruction,":[83],"accelerated":[85],"smoothed":[86],"projected":[87],"Landweber":[88],"(ASPL)":[89],"iteration":[90,126,143],"algorithm":[91,105,114],"put":[93],"forward.":[94],"Combined":[95],"sparse":[98],"constraints":[99],"in":[100,129,135],"APBT,":[101],"BCS-ASPLAPBT":[103],"reconstruction":[104,139],"advanced.":[107],"Experimental":[108],"results":[109],"demonstrate":[110],"that":[111],"proposed":[113],"outperforms":[115],"method":[117],"using":[119],"DCT":[120],"sparsifying":[121],"coupled":[122],"common":[124],"SPL":[125],"only":[128],"aspect":[131],"PSNR,":[133],"but":[134],"terms":[136],"time":[140],"number.":[144]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
