{"id":"https://openalex.org/W2078810838","doi":"https://doi.org/10.1109/tgrs.2010.2056691","title":"Remote-Sensing Image Compression Using Two-Dimensional Oriented Wavelet Transform","display_name":"Remote-Sensing Image Compression Using Two-Dimensional Oriented Wavelet Transform","publication_year":2010,"publication_date":"2010-08-24","ids":{"openalex":"https://openalex.org/W2078810838","doi":"https://doi.org/10.1109/tgrs.2010.2056691","mag":"2078810838"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2056691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2056691","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5100758169","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5980-4861"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Li","raw_affiliation_strings":["Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","Digital Media Lab., Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Digital Media Lab., Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026257114","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0002-1783-9051"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","Digital Media Lab., Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Digital Media Lab., Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048928060","display_name":"Hongxu Jiang","orcid":"https://orcid.org/0000-0001-6633-6605"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxu Jiang","raw_affiliation_strings":["Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","Digital Media Lab., Beihang Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Digital Media Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Digital Media Lab., Beihang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100758169"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":4.5262,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.95169608,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"49","issue":"1","first_page":"236","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","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/T10901","display_name":"Advanced Data Compression Techniques","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":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6346886157989502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828038454055786},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5799464583396912},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.49666672945022583},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4932515025138855},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.49055904150009155},{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.48507872223854065},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.47659438848495483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4737085700035095},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.465211421251297},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4548914134502411},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4295564889907837},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3566626310348511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3397771418094635},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3177720606327057},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30106136202812195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17031937837600708},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.11159905791282654}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6346886157989502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828038454055786},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5799464583396912},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.49666672945022583},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4932515025138855},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.49055904150009155},{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.48507872223854065},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.47659438848495483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4737085700035095},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.465211421251297},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4548914134502411},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4295564889907837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3566626310348511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3397771418094635},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3177720606327057},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30106136202812195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17031937837600708},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.11159905791282654}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2010.2056691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2056691","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W80534854","https://openalex.org/W157538006","https://openalex.org/W1540900967","https://openalex.org/W1580963329","https://openalex.org/W1905112375","https://openalex.org/W1963566089","https://openalex.org/W1971356997","https://openalex.org/W1979471387","https://openalex.org/W1979725798","https://openalex.org/W2006725246","https://openalex.org/W2013121852","https://openalex.org/W2030265202","https://openalex.org/W2041251040","https://openalex.org/W2053154970","https://openalex.org/W2063465753","https://openalex.org/W2085867575","https://openalex.org/W2091659514","https://openalex.org/W2093554590","https://openalex.org/W2095731416","https://openalex.org/W2107440092","https://openalex.org/W2109975565","https://openalex.org/W2111045154","https://openalex.org/W2116106681","https://openalex.org/W2118217749","https://openalex.org/W2122072454","https://openalex.org/W2122130821","https://openalex.org/W2125293549","https://openalex.org/W2130825948","https://openalex.org/W2132573196","https://openalex.org/W2132680427","https://openalex.org/W2133665775","https://openalex.org/W2138973222","https://openalex.org/W2142458747","https://openalex.org/W2144999986","https://openalex.org/W2145569126","https://openalex.org/W2148593155","https://openalex.org/W2149432747","https://openalex.org/W2149588558","https://openalex.org/W2151795634","https://openalex.org/W2152193740","https://openalex.org/W2155386867","https://openalex.org/W2157284958","https://openalex.org/W2161811007","https://openalex.org/W2164330070","https://openalex.org/W2165322257","https://openalex.org/W2169997788","https://openalex.org/W2170303263","https://openalex.org/W2537959610","https://openalex.org/W4302067267","https://openalex.org/W6606435542","https://openalex.org/W6632249810"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W1606460848","https://openalex.org/W2158009109","https://openalex.org/W2115252864","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2112852877","https://openalex.org/W2772846670","https://openalex.org/W2539735304"],"abstract_inverted_index":{"In":[0,66],"this":[1],"paper,":[2],"a":[3,30],"2-D":[4,18,87],"oriented":[5,23],"wavelet":[6],"transform":[7,24,32,38],"(OWT)":[8],"is":[9,70,151],"introduced":[10],"for":[11,51,62,93,146,153,157],"efficient":[12],"remote-sensing":[13,94,155],"image":[14],"compression.":[15],"The":[16],"proposed":[17,86],"OWT":[19,88],"can":[20],"perform":[21],"integrative":[22],"in":[25,47,103,109,116,144],"arbitrary":[26],"direction":[27,50,55,74],"and":[28,120,132,141],"achieve":[29],"significant":[31,121],"coding":[33,39],"gain.":[34],"To":[35],"maximize":[36],"the":[37,48,77,85,110],"gain,":[40],"two":[41],"separable":[42],"1-D":[43,79],"transforms":[44],"are":[45,60],"implemented":[46],"same":[49],"local":[52],"areas":[53],"with":[54,96],"consistency.":[56],"Subpixel":[57],"interpolation":[58],"rules":[59],"designed":[61],"rectangular":[63],"subbands":[64],"generation.":[65],"addition,":[67],"semidirection":[68],"displacement":[69],"adjusted":[71],"to":[72,100,138],"handle":[73],"mismatch":[75],"after":[76],"first":[78],"transform.":[80],"Experimental":[81],"results":[82],"demonstrate":[83],"that":[84],"compression":[89],"scheme":[90],"outperforms":[91,126],"JPEG2000":[92],"images":[95],"high":[97],"resolution,":[98],"up":[99,137],"0.43":[101],"dB":[102,143],"peak":[104],"signal-to-noise":[105],"ratio":[106],"(PSNR),":[107],"0.0261":[108],"measure":[111],"of":[112],"structural":[113],"similarity,":[114],"0.44%":[115],"Kappa":[117],"coefficients,":[118],"respectively,":[119],"subjective":[122],"improvement.":[123],"Meanwhile,":[124],"it":[125,150],"JPEG2000,":[127],"previous":[128],"adaptive":[129,134],"directional":[130],"lifting":[131,135],"weighted":[133],"methods,":[136],"1.98,":[139],"0.36,":[140],"0.19":[142],"PSNR":[145],"natural":[147],"images.":[148],"Furthermore,":[149],"suitable":[152],"real-time":[154],"processing":[156],"its":[158],"low":[159],"computational":[160],"cost.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
