{"id":"https://openalex.org/W1610768997","doi":"https://doi.org/10.1109/icassp.1985.1168448","title":"A hybrid image coding technique using a noncausal stochastic model","display_name":"A hybrid image coding technique using a noncausal stochastic model","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1610768997","doi":"https://doi.org/10.1109/icassp.1985.1168448","mag":"1610768997"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal 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/A5021014160","display_name":"Yasuo Yoshida","orcid":"https://orcid.org/0000-0002-7311-555X"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Y. Yoshida","raw_affiliation_strings":["Kyoto Institute of Technology, Matsugasaki, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Institute of Technology, Matsugasaki, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000515283","display_name":"Akio Nakamura","orcid":"https://orcid.org/0000-0003-3156-1348"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Nakamura","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109126560","display_name":"Hisanao Ogura","orcid":null},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Ogura","raw_affiliation_strings":["Kyoto Institute of Technology, Matsugasaki, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Institute of Technology, Matsugasaki, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021014160"],"corresponding_institution_ids":["https://openalex.org/I27429435"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07314134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"121","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9740999937057495,"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/algorithm","display_name":"Algorithm","score":0.5851807594299316},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5470030903816223},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5457897782325745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5444153547286987},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5072011947631836},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5018765926361084},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.46116963028907776},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43559834361076355},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4300442636013031},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42942142486572266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4050368666648865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39718741178512573},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3666667938232422},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17362865805625916}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5851807594299316},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5470030903816223},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5457897782325745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5444153547286987},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5072011947631836},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5018765926361084},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.46116963028907776},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43559834361076355},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4300442636013031},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42942142486572266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4050368666648865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39718741178512573},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3666667938232422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17362865805625916},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1985.1168448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal 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":4,"referenced_works":["https://openalex.org/W1543817777","https://openalex.org/W1554045124","https://openalex.org/W2154410785","https://openalex.org/W2163889646"],"related_works":["https://openalex.org/W2129829718","https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W4378191574","https://openalex.org/W2161981399","https://openalex.org/W2595043295","https://openalex.org/W2387043686","https://openalex.org/W2082769522"],"abstract_inverted_index":{"This":[0,60],"paper":[1],"presents":[2],"a":[3,9,19,26,33,79,84,89,97],"technique":[4],"for":[5],"data":[6],"compression":[7],"of":[8,49,56,70],"grey-level":[10],"still":[11],"image.":[12],"The":[13,37,92],"image":[14,58,99],"is":[15,41,62,94],"considered":[16],"to":[17,96,100],"be":[18],"two-dimensional":[20],"homogeneous":[21],"random":[22],"field":[23],"that":[24],"satisfies":[25],"noncausal":[27],"stochastic":[28],"difference":[29,38],"equation":[30,39],"driven":[31],"by":[32,45],"white":[34],"noise":[35],"field.":[36],"model":[40,61],"isotropic":[42],"and":[43,52,64,88],"characterized":[44],"the":[46,50,53,74],"two":[47],"parameters":[48],"variance":[51],"correlation":[54],"length":[55],"an":[57],"only.":[59],"simple":[63],"can":[65],"easily":[66],"fit":[67],"various":[68],"types":[69],"images.":[71],"Based":[72],"on":[73],"above":[75],"model,":[76],"we":[77],"develop":[78],"hybrid":[80],"algorithm":[81,93],"which":[82],"combines":[83],"one-dimensional":[85,90],"cosine":[86],"transformation":[87],"prediction.":[91],"applied":[95],"real":[98],"check":[101],"its":[102],"validity.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}