{"id":"https://openalex.org/W2113522468","doi":"https://doi.org/10.1109/isbi.2008.4540976","title":"An adaptive hybrid image compression method and its application to medical images","display_name":"An adaptive hybrid image compression method and its application to medical images","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2113522468","doi":"https://doi.org/10.1109/isbi.2008.4540976","mag":"2113522468"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4540976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5084907594","display_name":"Ali Al-Fayadh","orcid":"https://orcid.org/0000-0003-1652-9673"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ali Al-Fayadh","raw_affiliation_strings":["School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025789067","display_name":"Abir Hussain","orcid":"https://orcid.org/0000-0001-8413-0045"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abir Jaafar Hussain","raw_affiliation_strings":["School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010155676","display_name":"Paulo Lisb\u00f6a","orcid":"https://orcid.org/0000-0001-6365-4499"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paulo Lisboa","raw_affiliation_strings":["School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083103834","display_name":"Dhiya Al\u2010Jumeily","orcid":"https://orcid.org/0000-0002-9170-0568"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dhiya Al-Jumeily","raw_affiliation_strings":["School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, UK","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"Sch. of Comput. & Math. Sci., Liverpool John Moores Univ., Liverpool","institution_ids":["https://openalex.org/I63098007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084907594"],"corresponding_institution_ids":["https://openalex.org/I63098007"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74132341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"144","issue":null,"first_page":"237","last_page":"240"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7034499645233154},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6628344058990479},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6094090938568115},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5898213386535645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763698816299438},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.542354166507721},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5343450903892517},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5058616995811462},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4857790768146515},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.44419556856155396},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.43948400020599365},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4145243167877197},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4076928496360779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38402315974235535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3372994661331177},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31034016609191895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7034499645233154},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6628344058990479},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6094090938568115},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5898213386535645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763698816299438},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.542354166507721},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5343450903892517},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5058616995811462},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4857790768146515},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.44419556856155396},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.43948400020599365},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4145243167877197},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4076928496360779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38402315974235535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3372994661331177},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31034016609191895},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2008.4540976","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4540976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1634005169","https://openalex.org/W1973640743","https://openalex.org/W2009300413","https://openalex.org/W2018270473","https://openalex.org/W2106915668","https://openalex.org/W2115815871","https://openalex.org/W2134383396","https://openalex.org/W2136159455","https://openalex.org/W2137538360","https://openalex.org/W2138368514","https://openalex.org/W2152037928","https://openalex.org/W2399289909","https://openalex.org/W2525488343","https://openalex.org/W6712531178"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W3180760233","https://openalex.org/W2071387875","https://openalex.org/W1568381040","https://openalex.org/W2132019419","https://openalex.org/W4205915047","https://openalex.org/W2013943429","https://openalex.org/W3080614128"],"abstract_inverted_index":{"An":[0],"efficient":[1,37],"adaptive":[2,29],"lossy":[3],"image":[4,53,67,108],"compression":[5,16],"technique":[6,72],"using":[7],"classified":[8,31],"vector":[9,32],"quantiser":[10],"and":[11,100],"singular":[12],"value":[13],"decomposition":[14],"for":[15],"of":[17,50,106],"medical":[18,65,107],"magnetic":[19],"resonance-brain":[20],"images":[21,90],"is":[22,27],"presented.":[23],"The":[24,70],"proposed":[25,71,83],"method":[26,41],"called":[28],"hybrid":[30],"quantisation.":[33],"A":[34],"simple":[35],"but":[36],"classifier":[38],"based":[39],"gradient":[40],"without":[42],"employing":[43],"any":[44],"threshold":[45],"to":[46],"determine":[47],"the":[48,51,56,82,97,103],"class":[49],"input":[52],"block":[54],"in":[55,61],"spatial":[57],"domain":[58],"that":[59,81],"results":[60,79],"a":[62],"high-":[63],"fidelity":[64],"compressed":[66],"was":[68,73],"utilised.":[69],"benchmarked":[74,98],"with":[75,91],"JPEG-2000":[76],"standard.":[77],"Simulation":[78],"indicated":[80],"approach":[84],"can":[85],"reconstruct":[86],"high":[87],"visual":[88],"quality":[89],"higher":[92],"Peak":[93],"Signal-to":[94],"Noise-Ratio":[95],"than":[96],"technique,":[99],"also":[101],"meet":[102],"legal":[104],"requirement":[105],"archiving.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}