{"id":"https://openalex.org/W4205651372","doi":"https://doi.org/10.1093/comjnl/bxab202","title":"Taylor Sun Flower Optimization-Based Compressive Sensing for Image Compression and Recovery","display_name":"Taylor Sun Flower Optimization-Based Compressive Sensing for Image Compression and Recovery","publication_year":2021,"publication_date":"2021-12-31","ids":{"openalex":"https://openalex.org/W4205651372","doi":"https://doi.org/10.1093/comjnl/bxab202"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxab202","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxab202","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5065629186","display_name":"R Sekar","orcid":null},"institutions":[{"id":"https://openalex.org/I117381506","display_name":"Thiruvalluvar University","ror":"https://ror.org/0255nn983","country_code":"IN","type":"education","lineage":["https://openalex.org/I117381506"]},{"id":"https://openalex.org/I15517640","display_name":"Shri Venkateshwara University","ror":"https://ror.org/00xh8va68","country_code":"IN","type":"education","lineage":["https://openalex.org/I15517640"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sekar R","raw_affiliation_strings":["Assistant Professor , , Tiruvallur, India","Sri Venkateshwara Institute of Science and Technology , , Tiruvallur, India","Assistant Professor, Sri Venkateshwara Institute of Science and Technology, Tiruvallur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor , , Tiruvallur, India","institution_ids":["https://openalex.org/I117381506"]},{"raw_affiliation_string":"Sri Venkateshwara Institute of Science and Technology , , Tiruvallur, India","institution_ids":[]},{"raw_affiliation_string":"Assistant Professor, Sri Venkateshwara Institute of Science and Technology, Tiruvallur, India","institution_ids":["https://openalex.org/I15517640"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091736645","display_name":"G. Ravi","orcid":null},"institutions":[{"id":"https://openalex.org/I2803007727","display_name":"Salem Hospital","ror":"https://ror.org/00rfgpg89","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2803007727","https://openalex.org/I2803039483"]},{"id":"https://openalex.org/I60493950","display_name":"Salem College","ror":"https://ror.org/00aq42n63","country_code":"US","type":"education","lineage":["https://openalex.org/I60493950"]},{"id":"https://openalex.org/I9729102","display_name":"Salem University","ror":"https://ror.org/03dqzan26","country_code":"US","type":"education","lineage":["https://openalex.org/I9729102"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ravi G","raw_affiliation_strings":["Assistant Professor , , Salem, India","Sona College of Technology , , Salem, India","Assistant Professor, Sona College of Technology, Salem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor , , Salem, India","institution_ids":["https://openalex.org/I2803007727","https://openalex.org/I9729102","https://openalex.org/I60493950"]},{"raw_affiliation_string":"Sona College of Technology , , Salem, India","institution_ids":[]},{"raw_affiliation_string":"Assistant Professor, Sona College of Technology, Salem, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065629186","https://openalex.org/A5091736645"],"corresponding_institution_ids":["https://openalex.org/I117381506","https://openalex.org/I15517640","https://openalex.org/I2803007727","https://openalex.org/I60493950","https://openalex.org/I9729102"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.3561,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57436665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"66","issue":"4","first_page":"873","last_page":"887"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9988999962806702,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7668013572692871},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.6345010995864868},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6320792436599731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.593485951423645},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5542371869087219},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5390036106109619},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.53275465965271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5262369513511658},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5158397555351257},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4602559804916382},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.42391306161880493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3653923571109772},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3428691029548645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28502705693244934},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20260828733444214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16127827763557434},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11833512783050537},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09190031886100769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07062762975692749}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7668013572692871},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.6345010995864868},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6320792436599731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.593485951423645},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5542371869087219},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5390036106109619},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.53275465965271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5262369513511658},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5158397555351257},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4602559804916382},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.42391306161880493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3653923571109772},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3428691029548645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28502705693244934},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20260828733444214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16127827763557434},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11833512783050537},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09190031886100769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07062762975692749},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxab202","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxab202","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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":33,"referenced_works":["https://openalex.org/W1624366496","https://openalex.org/W1978430464","https://openalex.org/W2002969407","https://openalex.org/W2090205913","https://openalex.org/W2146775314","https://openalex.org/W2148576005","https://openalex.org/W2185540926","https://openalex.org/W2299461907","https://openalex.org/W2325136848","https://openalex.org/W2399289909","https://openalex.org/W2544262820","https://openalex.org/W2551769760","https://openalex.org/W2581480812","https://openalex.org/W2593846387","https://openalex.org/W2799850431","https://openalex.org/W2803364900","https://openalex.org/W2894561152","https://openalex.org/W2896409680","https://openalex.org/W2921570539","https://openalex.org/W2922097128","https://openalex.org/W2943810070","https://openalex.org/W2952838855","https://openalex.org/W2956019739","https://openalex.org/W3007199684","https://openalex.org/W4240561197","https://openalex.org/W6682357905","https://openalex.org/W6700606687","https://openalex.org/W6712531178","https://openalex.org/W6734391587","https://openalex.org/W6754624293","https://openalex.org/W6760532351","https://openalex.org/W6765596717","https://openalex.org/W6822426999"],"related_works":["https://openalex.org/W4312724860","https://openalex.org/W2569922886","https://openalex.org/W2303782615","https://openalex.org/W1998105793","https://openalex.org/W1969998769","https://openalex.org/W2981467186","https://openalex.org/W2227225545","https://openalex.org/W2963660424","https://openalex.org/W2063071670","https://openalex.org/W2755632450"],"abstract_inverted_index":{"Abstract":[0],"The":[1,37,129,146],"most":[2],"prominent":[3],"challenges":[4],"in":[5,83],"compressive":[6,88],"sensing":[7,89],"are":[8,76],"seeking":[9],"the":[10,43,47,51,55,59,65,69,72,80,84,87,105,123,126,137,141,149],"domain":[11],"where":[12],"an":[13,30],"image":[14,33,61],"is":[15,46,54,62,91,119,153],"represented":[16],"sparsely":[17],"and":[18,35,50,71,104,160],"hence":[19],"be":[20,133],"faithfully":[21],"recovered":[22],"to":[23,64,163],"obtain":[24],"high-quality":[25],"results.":[26],"This":[27],"paper":[28],"introduces":[29],"approach":[31,39,152],"for":[32,78,155],"compression":[34,48,66],"recovery.":[36],"proposed":[38,130,150],"involves":[40],"two":[41],"phases:":[42],"initial":[44],"step":[45,53],"phase,":[49,86],"second":[52],"recovery":[56,85,90],"phase.":[57],"Initially,":[58],"medical":[60],"subjected":[63],"module":[67],"wherein":[68],"self-similarity":[70],"3-dimensional":[73],"(3D)":[74],"transform":[75],"adapted":[77],"compressing":[79],"image.":[81],"Then,":[82],"performed":[92],"based":[93],"on":[94],"structural":[95],"similarity":[96],"index":[97],"measure":[98,102,118],"(SSIM)-based":[99],"collaborative":[100],"sparsity":[101],"(S-CoSM),":[103],"novel":[106],"optimization":[107,112,143],"algorithm,":[108],"named":[109],"Taylor-based":[110],"Sunflower":[111],"(Taylor-SFO)":[113],"algorithm.":[114,145],"An":[115],"effective":[116],"S-CoSM":[117],"designed":[120,134],"by":[121,135],"modifying":[122],"CoSM":[124],"using":[125],"SSIM":[127,157],"metric.":[128],"Taylor-SFO":[131,151],"will":[132],"integrating":[136],"Taylor":[138],"series":[139],"with":[140],"sunflower":[142],"(SFO)":[144],"performance":[147],"of":[148,158,166],"evaluated":[154],"matrices":[156],"0.9412":[159],"peak":[161],"signal":[162],"noise":[164],"ratio":[165],"57.57":[167],"dB.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}