{"id":"https://openalex.org/W2080265348","doi":"https://doi.org/10.1109/jsac.1987.1146629","title":"Predictive Image Coding with Pseudo-Laplacian Edge Detector","display_name":"Predictive Image Coding with Pseudo-Laplacian Edge Detector","publication_year":1987,"publication_date":"1987-08-01","ids":{"openalex":"https://openalex.org/W2080265348","doi":"https://doi.org/10.1109/jsac.1987.1146629","mag":"2080265348"},"language":"en","primary_location":{"id":"doi:10.1109/jsac.1987.1146629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.1987.1146629","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","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/A5030248674","display_name":"Choon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Choon Lee","raw_affiliation_strings":["Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026149966","display_name":"Morton Nadler","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Nadler","raw_affiliation_strings":["Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030248674"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.6509,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75620767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"7","first_page":"1190","last_page":"1206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.7010876536369324},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6195238828659058},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5497142672538757},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.49511805176734924},{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.4822257459163666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4714178740978241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44690459966659546},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.43018150329589844},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42293214797973633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4226968586444855},{"id":"https://openalex.org/keywords/sub-band-coding","display_name":"Sub-band coding","score":0.418578565120697},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2769087255001068},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.26468509435653687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22273680567741394},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.21185153722763062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.158320814371109},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12210649251937866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010876536369324},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6195238828659058},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5497142672538757},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.49511805176734924},{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.4822257459163666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4714178740978241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44690459966659546},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.43018150329589844},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42293214797973633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4226968586444855},{"id":"https://openalex.org/C98526533","wikidata":"https://www.wikidata.org/wiki/Q1691938","display_name":"Sub-band coding","level":3,"score":0.418578565120697},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2769087255001068},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.26468509435653687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22273680567741394},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.21185153722763062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.158320814371109},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12210649251937866},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jsac.1987.1146629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsac.1987.1146629","pdf_url":null,"source":{"id":"https://openalex.org/S90422530","display_name":"IEEE Journal on Selected Areas in Communications","issn_l":"0733-8716","issn":["0733-8716","1558-0008"],"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 Journal on Selected Areas in Communications","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/91038","is_oa":false,"landing_page_url":"http://hdl.handle.net/10919/91038","pdf_url":null,"source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1965353144","https://openalex.org/W1970983436","https://openalex.org/W1971924494","https://openalex.org/W1976011531","https://openalex.org/W1990866607","https://openalex.org/W1999228274","https://openalex.org/W2018452484","https://openalex.org/W2029846417","https://openalex.org/W2040071026","https://openalex.org/W2046465813","https://openalex.org/W2046566613","https://openalex.org/W2055348179","https://openalex.org/W2068394340","https://openalex.org/W2077070036","https://openalex.org/W2078498116","https://openalex.org/W2089259910","https://openalex.org/W2102470976","https://openalex.org/W2109007284","https://openalex.org/W2109808436","https://openalex.org/W2116966585","https://openalex.org/W2133233132","https://openalex.org/W2135685614","https://openalex.org/W2146722192","https://openalex.org/W2150587533","https://openalex.org/W2156238583","https://openalex.org/W2271128248","https://openalex.org/W2595193818","https://openalex.org/W6650532798"],"related_works":["https://openalex.org/W2356040864","https://openalex.org/W2623088128","https://openalex.org/W294870043","https://openalex.org/W214368458","https://openalex.org/W2376326586","https://openalex.org/W196475356","https://openalex.org/W146041580","https://openalex.org/W2169978247","https://openalex.org/W1996661870","https://openalex.org/W1591830346"],"abstract_inverted_index":{"Several":[0],"edge-adaptive":[1],"dual-mode":[2],"predictive":[3],"coding":[4,9,25,51,80],"systems":[5],"are":[6,141],"proposed":[7],"for":[8,45],"monochrome":[10],"video":[11],"signals.":[12],"These":[13],"algorithms":[14],"use":[15],"the":[16,23,27,36,46,71,90,96,106,111,132,136,144,148],"pseudo-Laplacian":[17],"edge":[18,28,50,79,107],"detector":[19],"to":[20,123,143],"switch":[21],"between":[22,99],"textural":[24,47,77],"and":[26,35,78,84,95],"coding.":[29,48],"The":[30,49,86,126],"one-dimensional":[31],"Song":[32,59,149],"DM":[33,41,60,153],"coder":[34,42,68,154],"two-dimensional":[37,58,152],"weighted":[38],"average":[39],"prediction":[40],"were":[43,82,93,116],"used":[44],"was":[52],"done":[53],"with":[54,135],"either":[55],"a":[56,66],"normal":[57,151],"coder,":[61],"Graham's":[62],"DPCM":[63,67],"schemes,":[64],"or":[65,110],"developed":[69,83],"by":[70,147],"authors.":[72],"Nine":[73],"different":[74],"combinations":[75],"of":[76,89,105,131],"techniques":[81,137],"simulated.":[85],"bit":[87],"rates":[88],"various":[91],"schemes":[92],"compared,":[94],"range":[97],"varied":[98],"2.28-3.46":[100],"bits/pixel":[101],"without":[102],"further":[103],"compression":[104],"information":[108],"bits":[109],"correction":[112],"bits.":[113],"Subjective":[114],"tests":[115],"carried":[117],"out":[118],"on":[119],"images":[120],"reconstructed":[121],"according":[122],"these":[124],"schemes.":[125],"results":[127],"show":[128],"that":[129],"most":[130],"pictures":[133,145],"obtained":[134],"in":[138],"this":[139],"paper":[140],"superior":[142],"coded":[146],"mode":[150],"alone.":[155]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}