{"id":"https://openalex.org/W2001168702","doi":"https://doi.org/10.1109/icip.2006.312761","title":"Near-Lossless Compression of Hyperspectral Images","display_name":"Near-Lossless Compression of Hyperspectral Images","publication_year":2006,"publication_date":"2006-10-01","ids":{"openalex":"https://openalex.org/W2001168702","doi":"https://doi.org/10.1109/icip.2006.312761","mag":"2001168702"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2006.312761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2006.312761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 International Conference on Image Processing","raw_type":"proceedings-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/A5075867361","display_name":"Agnieszka Miguel","orcid":null},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Agnieszka Miguel","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seattle University, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seattle University, Seattle, WA","institution_ids":["https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011230022","display_name":"Jenny Liu","orcid":"https://orcid.org/0009-0009-5787-9179"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenny Liu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle, WA","Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070034202","display_name":"Dane K. Barney","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dane Barney","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle, WA","Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043369298","display_name":"Richard E. Ladner","orcid":"https://orcid.org/0000-0001-9413-6774"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Ladner","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Washington, Seattle, WA","Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057736319","display_name":"E.A. Riskin","orcid":"https://orcid.org/0000-0002-8813-6521"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eve Riskin","raw_affiliation_strings":["University of Washington, Department of Electrical Engineering, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Department of Electrical Engineering, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3155,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58580191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"1153","last_page":"1156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9837999939918518,"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/lossless-compression","display_name":"Lossless compression","score":0.8825569152832031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6533243656158447},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5610445141792297},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5257059931755066},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.5194711089134216},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.506414532661438},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5025246143341064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49853968620300293},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4921061396598816},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44996377825737},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4347586929798126},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4221607446670532},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3766665756702423},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33845412731170654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3187611699104309},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24293771386146545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2152407169342041},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.19001832604408264},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1193714439868927},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08591398596763611},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08359751105308533}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8825569152832031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533243656158447},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5610445141792297},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5257059931755066},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.5194711089134216},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.506414532661438},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5025246143341064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49853968620300293},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4921061396598816},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44996377825737},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4347586929798126},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4221607446670532},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3766665756702423},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33845412731170654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3187611699104309},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24293771386146545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2152407169342041},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.19001832604408264},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1193714439868927},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08591398596763611},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08359751105308533},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2006.312761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2006.312761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W235249250","https://openalex.org/W1803694112","https://openalex.org/W1936912137","https://openalex.org/W2029775444","https://openalex.org/W2054954425","https://openalex.org/W2063745501","https://openalex.org/W2099778990","https://openalex.org/W2104349749","https://openalex.org/W2108600601","https://openalex.org/W2110707318","https://openalex.org/W2111174222","https://openalex.org/W2113766798","https://openalex.org/W2117561860","https://openalex.org/W2128960784","https://openalex.org/W2132235361","https://openalex.org/W2133078112","https://openalex.org/W2137326991","https://openalex.org/W2138596445","https://openalex.org/W2151522834","https://openalex.org/W2152595523","https://openalex.org/W6638329590","https://openalex.org/W6666429715","https://openalex.org/W6682453389"],"related_works":["https://openalex.org/W1995837572","https://openalex.org/W2521595930","https://openalex.org/W4313046148","https://openalex.org/W2161981399","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W3080614128","https://openalex.org/W4210455546","https://openalex.org/W2011465253","https://openalex.org/W163973223"],"abstract_inverted_index":{"Research":[0],"Supported":[1],"By":[2],"National":[3],"Science":[4,21],"Foundation":[5],"Grant":[6],"Number":[7],"Ccr-0104800.":[8],"Richard":[9],"Ladner":[10],"was":[11],"supported":[12],"in":[13,19,66],"part":[14],"by":[15,75,110],"the":[16,61,67,84,102,120,124,142,146,156],"Boeing":[17],"Professor-ship":[18],"Computer":[20,33],"and":[22,123,152],"Engineering.":[23],"Contact":[24],"Information:":[25],"Professor":[26],"Agnieszka":[27],"Miguel,":[28],"Department":[29],"of":[30,53,63,148],"Electrical":[31],"&":[32],"Engineering":[34],"Seattle":[35],"University,":[36],"901":[37],"12th":[38],"Avenue,":[39],"P.O.":[40],"Box":[41],"222000,":[42],"Seattle,":[43],"WA":[44],"98122-1090,":[45],"(206)296-5965,":[46],"amiguel@seattleu.edu.":[47],"ABSTRACT":[48],"Algorithms":[49],"for":[50],"near-lossless":[51],"compression":[52,95,157],"hyperspectral":[54],"images":[55,90],"are":[56],"presented.":[57],"They":[58],"guarantee":[59],"that":[60],"intensity":[62],"any":[64],"pixel":[65],"decompressed":[68],"image(s)":[69],"differs":[70],"from":[71,119],"its":[72],"original":[73,121],"value":[74],"no":[76],"more":[77,94],"than":[78,96],"a":[79,111,129],"user-specified":[80],"quantity.":[81],"To":[82,140],"reduce":[83],"bit":[85,130],"rate":[86],"required":[87],"to":[88],"code":[89],"while":[91],"providing":[92],"significantly":[93],"lossless":[97],"algorithms,":[98],"linear":[99],"prediction":[100,116,144],"between":[101],"bands":[103],"is":[104,108,117,126,159],"used.":[105],"Each":[106],"band":[107,150],"predicted":[109],"previously":[112],"transmitted":[113],"band.":[114],"The":[115],"subtracted":[118],"band,":[122],"residual":[125],"compressed":[127],"with":[128],"plane":[131],"coder":[132],"which":[133],"uses":[134],"context-based":[135],"adaptive":[136],"binary":[137],"arithmetic":[138],"coding.":[139],"find":[141],"best":[143],"algorithm,":[145],"impact":[147],"various":[149],"orderings":[151],"optimization":[153],"techniques":[154],"on":[155],"ratios":[158],"studied.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}