{"id":"https://openalex.org/W126510060","doi":"https://doi.org/10.2352/cic.2001.9.1.art00025","title":"Multispectral Image Encoding and Compression","display_name":"Multispectral Image Encoding and Compression","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W126510060","doi":"https://doi.org/10.2352/cic.2001.9.1.art00025","mag":"126510060"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2001.9.1.art00025","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00025","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00025","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00025","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068785650","display_name":"Lindsay MacDonald","orcid":"https://orcid.org/0000-0002-7380-7118"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lindsay MacDonald","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025289458","display_name":"Stephen Westland","orcid":"https://orcid.org/0000-0003-3480-4755"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Westland","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417620","display_name":"Dongmei Liu","orcid":"https://orcid.org/0000-0003-3912-0950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongmei Liu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068785650"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.01686933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.95660001039505,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.95660001039505,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9337999820709229,"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/T11666","display_name":"Color Science and Applications","score":0.9168999791145325,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.9353816509246826},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6898510456085205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816593408584595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6437796950340271},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.624617338180542},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5410702228546143},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.4955517053604126},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4725220799446106},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46582505106925964},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4606717824935913},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44837862253189087},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.43923380970954895},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.42562761902809143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4201492667198181},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25909578800201416},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08220627903938293}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.9353816509246826},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6898510456085205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816593408584595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6437796950340271},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.624617338180542},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5410702228546143},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.4955517053604126},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4725220799446106},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46582505106925964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4606717824935913},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44837862253189087},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.43923380970954895},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.42562761902809143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4201492667198181},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25909578800201416},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08220627903938293},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2001.9.1.art00025","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00025","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00025","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2001.9.1.art00025","is_oa":true,"landing_page_url":"http://dx.doi.org/10.2352/cic.2001.9.1.art00025","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/9/1/art00025","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W126510060.pdf","grobid_xml":"https://content.openalex.org/works/W126510060.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2126922921","https://openalex.org/W2033763355","https://openalex.org/W2102917657","https://openalex.org/W2574052219","https://openalex.org/W1503860387","https://openalex.org/W3177029716","https://openalex.org/W2514054946","https://openalex.org/W2548448804","https://openalex.org/W1677446238","https://openalex.org/W2054743730"],"abstract_inverted_index":{"Digital":[0],"image":[1,21,25],"archives":[2,26],"may":[3],"store":[4],"images":[5,84],"in":[6,105],"either":[7],"device-dependent":[8],"or":[9],"device-independent":[10],"form,":[11],"but":[12],"the":[13,20,29,45,72,80,98,106],"latter":[14],"places":[15],"more":[16],"stringent":[17],"demands":[18],"on":[19],"capture":[22],"process.":[23],"Multispectral":[24],"can":[27],"reduce":[28],"problems":[30],"of":[31,47,85,97],"colour":[32],"inconstancy":[33],"associated":[34],"with":[35,100],"trichromatic":[36],"images.":[37],"An":[38],"experimental":[39],"study":[40],"was":[41],"conducted":[42],"to":[43,79],"determine":[44],"efficiency":[46],"a":[48,76],"new":[49],"method":[50,74],"for":[51],"encoding":[52,73],"multispectral":[53],"images,":[54],"using":[55],"three":[56],"orthogonal":[57],"basis":[58],"functions":[59],"derived":[60],"from":[61,91],"cone":[62],"fundamentals":[63],"plus":[64],"additional":[65],"principal":[66],"components.":[67],"The":[68],"results":[69],"indicated":[70],"that":[71,83],"gave":[75],"good":[77],"approximation":[78],"original,":[81],"and":[82],"reasonable":[86],"quality":[87],"could":[88],"be":[89],"reconstructed":[90],"files":[92],"compressed":[93],"by":[94],"spatial":[95],"sub-sampling":[96],"components,":[99],"an":[101],"overall":[102],"compression":[103],"ratio":[104],"range":[107],"20-40.":[108]},"counts_by_year":[],"updated_date":"2026-03-12T06:13:28.667946","created_date":"2025-10-10T00:00:00"}