{"id":"https://openalex.org/W2132672667","doi":"https://doi.org/10.1109/pcs.2010.5702435","title":"Avoidance of singular point in reversible KLT","display_name":"Avoidance of singular point in reversible KLT","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2132672667","doi":"https://doi.org/10.1109/pcs.2010.5702435","mag":"2132672667"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2010.5702435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036393534","display_name":"Masahiro Iwahashi","orcid":"https://orcid.org/0000-0002-7566-1247"},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Iwahashi","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, Niigata, Japan","Nagaoka University of Technology, Nagaoka-shi, Niigata, 940-2188 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Niigata, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]},{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka-shi, Niigata, 940-2188 Japan","institution_ids":["https://openalex.org/I85922643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015250468","display_name":"Hitoshi Kiya","orcid":"https://orcid.org/0000-0001-8061-3090"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kiya","raw_affiliation_strings":["Tokyo Metropolitan University, Hino, Tokyo, Japan","Tokyo Metropolitan University Hino-shi, Tokyo, 191-0065 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University Hino-shi, Tokyo, 191-0065 Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52952603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"110","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9980000257492065,"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":0.9961000084877014,"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/rounding","display_name":"Rounding","score":0.8700560331344604},{"id":"https://openalex.org/keywords/singular-point-of-a-curve","display_name":"Singular point of a curve","score":0.6082429885864258},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5891712307929993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5548017024993896},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5340173840522766},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5233099460601807},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5071132183074951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5030075907707214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45607689023017883},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.45388326048851013},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.43500077724456787},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.43058058619499207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39271318912506104},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3388962745666504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3387311100959778},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.15499722957611084},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.15236327052116394},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1298236846923828},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09011808037757874}],"concepts":[{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.8700560331344604},{"id":"https://openalex.org/C200917960","wikidata":"https://www.wikidata.org/wiki/Q3847057","display_name":"Singular point of a curve","level":2,"score":0.6082429885864258},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5891712307929993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5548017024993896},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5340173840522766},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5233099460601807},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5071132183074951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5030075907707214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45607689023017883},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.45388326048851013},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.43500077724456787},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.43058058619499207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39271318912506104},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3388962745666504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3387311100959778},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.15499722957611084},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.15236327052116394},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1298236846923828},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09011808037757874},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2010.5702435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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":13,"referenced_works":["https://openalex.org/W210952029","https://openalex.org/W610997267","https://openalex.org/W1538774904","https://openalex.org/W2117188745","https://openalex.org/W2118536847","https://openalex.org/W2132715403","https://openalex.org/W2144018345","https://openalex.org/W2149435812","https://openalex.org/W2172038801","https://openalex.org/W2480439833","https://openalex.org/W6677515370","https://openalex.org/W6680006676","https://openalex.org/W6681463237"],"related_works":["https://openalex.org/W4220780102","https://openalex.org/W2410881844","https://openalex.org/W3196334750","https://openalex.org/W1502401885","https://openalex.org/W2004257129","https://openalex.org/W2116281088","https://openalex.org/W2357551824","https://openalex.org/W2016668641","https://openalex.org/W2019368960","https://openalex.org/W1756839217"],"abstract_inverted_index":{"In":[0,80],"this":[1,81],"report,":[2,82],"permutation":[3,102],"of":[4,8,17,36,50,57,87,96,103,107],"order":[5,104],"and":[6,74,100,105],"sign":[7,106],"signals":[9,108],"are":[10,69],"introduced":[11],"to":[12,47,71,109,129],"avoid":[13,110],"singular":[14,61],"point":[15,90],"problem":[16],"a":[18,22,88],"reversible":[19],"transform.":[20,41],"When":[21],"transform":[23,59],"is":[24,78],"implemented":[25],"in":[26,34],"the":[27,40,58,65,75,85,111,119,130],"lifting":[28],"structure,":[29],"it":[30,43],"can":[31],"be":[32],"\"reversible\"":[33],"spite":[35],"rounding":[37,67],"operations":[38],"inside":[39],"Therefore":[42],"has":[44],"been":[45],"applied":[46],"lossless":[48],"coding":[49,76],"digital":[51],"signals.":[52],"However":[53],"some":[54],"coefficient":[55],"values":[56],"have":[60],"points":[62],"(SP).":[63],"Around":[64],"SP,":[66],"errors":[68],"magnified":[70],"huge":[72],"amount":[73],"efficiency":[77],"decreased.":[79],"we":[83],"analyze":[84],"SP":[86,112],"three":[89],"KLT":[91],"for":[92],"RGB":[93],"color":[94],"components":[95],"an":[97],"image":[98],"signal,":[99],"introduce":[101],"problem.":[113],"It":[114],"was":[115],"experimentally":[116],"confirmed":[117],"that":[118],"proposed":[120],"method":[121],"improved":[122],"PSNR":[123],"by":[124],"approximately":[125],"15":[126],"[dB]":[127],"comparing":[128],"worst":[131],"case.":[132]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
