{"id":"https://openalex.org/W2425280333","doi":"https://doi.org/10.1093/comjnl/bxw031","title":"Edge Preserved Multispectral Image Compression Using Extended Shearlet Transform","display_name":"Edge Preserved Multispectral Image Compression Using Extended Shearlet Transform","publication_year":2016,"publication_date":"2016-06-17","ids":{"openalex":"https://openalex.org/W2425280333","doi":"https://doi.org/10.1093/comjnl/bxw031","mag":"2425280333"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxw031","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxw031","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/A5108596180","display_name":"S. Thayammal","orcid":null},"institutions":[{"id":"https://openalex.org/I4391012606","display_name":"AAA College of Engineering and Technology","ror":"https://ror.org/0281pgk04","country_code":null,"type":"education","lineage":["https://openalex.org/I4391012606"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Thayammal","raw_affiliation_strings":["ECE Department, AAA College of Engineering and Technology, Kamarajar Educational Road, Sivakasi 626005, Virudhunagar (District), Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"ECE Department, AAA College of Engineering and Technology, Kamarajar Educational Road, Sivakasi 626005, Virudhunagar (District), Tamil Nadu, India","institution_ids":["https://openalex.org/I4391012606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063375664","display_name":"D. Selvathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Selvathi","raw_affiliation_strings":["ECE Department, Mepco Schlenk Engineering College, Sivakasi 626005, Virudhunagar (District), Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"ECE Department, Mepco Schlenk Engineering College, Sivakasi 626005, Virudhunagar (District), Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108596180"],"corresponding_institution_ids":["https://openalex.org/I4391012606"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06866854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9991000294685364,"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":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.654625654220581},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6308439373970032},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.5692148208618164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653983354568481},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5461567044258118},{"id":"https://openalex.org/keywords/shearlet","display_name":"Shearlet","score":0.5209223628044128},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5062488913536072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49782443046569824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47431206703186035},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.43300533294677734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.430636465549469},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4304264783859253},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3724084794521332},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19200852513313293}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.654625654220581},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6308439373970032},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.5692148208618164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653983354568481},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5461567044258118},{"id":"https://openalex.org/C67795661","wikidata":"https://www.wikidata.org/wiki/Q17018993","display_name":"Shearlet","level":3,"score":0.5209223628044128},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5062488913536072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49782443046569824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47431206703186035},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.43300533294677734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.430636465549469},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4304264783859253},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3724084794521332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19200852513313293}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxw031","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxw031","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":23,"referenced_works":["https://openalex.org/W353731743","https://openalex.org/W1513817866","https://openalex.org/W1969288471","https://openalex.org/W1986067162","https://openalex.org/W2005589629","https://openalex.org/W2045422008","https://openalex.org/W2064410802","https://openalex.org/W2069912449","https://openalex.org/W2085654430","https://openalex.org/W2099050431","https://openalex.org/W2117853853","https://openalex.org/W2117881455","https://openalex.org/W2122280398","https://openalex.org/W2125496858","https://openalex.org/W2133539518","https://openalex.org/W2135737554","https://openalex.org/W2140644755","https://openalex.org/W2145892462","https://openalex.org/W2155110931","https://openalex.org/W2158548804","https://openalex.org/W2170407643","https://openalex.org/W2183620863","https://openalex.org/W3099636282"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W2542654834","https://openalex.org/W2159814397","https://openalex.org/W4243959093","https://openalex.org/W2971784143","https://openalex.org/W1968318766","https://openalex.org/W4312760377","https://openalex.org/W2357838320","https://openalex.org/W797099379","https://openalex.org/W2042561529"],"abstract_inverted_index":{"The":[0,75,113,141,156,171],"edges":[1,50],"are":[2,13,147,160],"one":[3],"of":[4,65,135,138,143,183],"the":[5,42,66,100,118,139,144],"salient":[6],"features":[7,137],"in":[8,27,72,108],"an":[9,29],"image":[10,17,30,68],"and":[11,51,83,89,99,152,165],"they":[12,37],"essential":[14],"for":[15,87,131],"multispectral":[16],"processing.":[18],"But":[19],"existing":[20,125],"compression":[21,33,73],"standard":[22],"JPEG2000":[23],"produces":[24],"visual":[25],"artifacts":[26],"reconstructing":[28],"at":[31],"high":[32,43],"ratios":[34],"(CRs)":[35],"because":[36],"do":[38],"not":[39],"tailor":[40],"about":[41],"frequency":[44],"components,":[45],"i.e.":[46],"detailed":[47],"information":[48,64,153,172],"like":[49,128],"other":[52],"geometrical":[53,136],"features.":[54],"So,":[55],"this":[56],"work":[57],"intends":[58],"to":[59,96],"preserve":[60],"detail":[61],"or":[62],"edge":[63],"reconstructed":[67,184],"without":[69],"any":[70],"penalty":[71],"performance.":[74],"proposed":[76,119,145],"method":[77,120,127,146],"deals":[78],"with":[79],"principal":[80],"component":[81],"analysis":[82],"extended":[84],"shearlet":[85],"transform":[86,97],"spectral":[88],"spatial":[90],"decorrelation,":[91],"respectively.":[92],"Thresholding":[93],"is":[94,103,121,175,179],"applied":[95],"coefficients":[98],"threshold":[101],"output":[102],"encoded":[104],"by":[105,149],"set":[106],"partitioning":[107],"hierarchical":[109],"tree":[110],"coding":[111],"technique.":[112],"simulation":[114],"result":[115],"shows":[116],"that":[117],"more":[122],"efficient":[123],"than":[124],"conventional":[126],"JPEG":[129],"2000;":[130],"a":[132],"wide":[133],"range":[134],"images.":[140],"performances":[142],"measured":[148],"both":[150],"rate\u2013distortion":[151,157],"preservation":[154,173],"perspectives.":[155],"performance":[158],"measures":[159],"CR,":[161],"peak":[162],"signal-to-noise":[163],"ratio":[164],"mean":[166],"structural":[167],"similarity":[168],"index":[169],"metric.":[170],"measure":[174],"kappa":[176],"coefficient":[177],"which":[178],"obtained":[180],"from":[181],"classification":[182],"image.":[185]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}