{"id":"https://openalex.org/W2050154797","doi":"https://doi.org/10.1109/icip.2014.7026130","title":"Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms","display_name":"Simplified DCT-lifting-based reversible lapped transforms using parallel processing of two same type lapped transforms","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2050154797","doi":"https://doi.org/10.1109/icip.2014.7026130","mag":"2050154797"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5083646987","display_name":"Taizo Suzuki","orcid":"https://orcid.org/0000-0002-9943-679X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taizo Suzuki","raw_affiliation_strings":["Faculty of EIS, University of Tsukuba, Tsukuba, Ibaraki, Japan","Faculty of EIS, University of Tsukuba Tsukuba, Ibaraki, 305-8573 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of EIS, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Faculty of EIS, University of Tsukuba Tsukuba, Ibaraki, 305-8573 Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["EEE Dept., Keio University, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EEE Dept., Keio University, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4969,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57075472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2569","issue":null,"first_page":"5586","last_page":"5590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9986000061035156,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.8547723293304443},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7878420352935791},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6924287676811218},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6200418472290039},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6074498891830444},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5278415679931641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4721372723579407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44989532232284546},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4388948678970337},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.43374931812286377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4321029484272003},{"id":"https://openalex.org/keywords/hadamard-transform","display_name":"Hadamard transform","score":0.41543513536453247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3557010293006897},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.34131917357444763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33720654249191284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31974464654922485},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3138262629508972},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08913737535476685}],"concepts":[{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.8547723293304443},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7878420352935791},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6924287676811218},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6200418472290039},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6074498891830444},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5278415679931641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4721372723579407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44989532232284546},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4388948678970337},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.43374931812286377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4321029484272003},{"id":"https://openalex.org/C60292330","wikidata":"https://www.wikidata.org/wiki/Q1014065","display_name":"Hadamard transform","level":2,"score":0.41543513536453247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3557010293006897},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.34131917357444763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33720654249191284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31974464654922485},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3138262629508972},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08913737535476685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7026130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1604949508","https://openalex.org/W1964786590","https://openalex.org/W1974581749","https://openalex.org/W1991719850","https://openalex.org/W1998077966","https://openalex.org/W2054042449","https://openalex.org/W2079229671","https://openalex.org/W2086393337","https://openalex.org/W2098278466","https://openalex.org/W2105815873","https://openalex.org/W2106219841","https://openalex.org/W2124440426","https://openalex.org/W2138833133","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2142276208","https://openalex.org/W2146395539","https://openalex.org/W2157621526","https://openalex.org/W2158698760","https://openalex.org/W2166135038","https://openalex.org/W2402989174","https://openalex.org/W6713252305"],"related_works":["https://openalex.org/W2013943429","https://openalex.org/W3142097109","https://openalex.org/W2138702206","https://openalex.org/W2151738694","https://openalex.org/W3140834049","https://openalex.org/W2978563117","https://openalex.org/W2169808749","https://openalex.org/W1908108260","https://openalex.org/W2556691706","https://openalex.org/W3033300996"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,105],"realization":[3],"of":[4,57],"reversible":[5],"lapped":[6,92],"transforms":[7],"(RevLTs)":[8],"with":[9,115],"simplified":[10,113],"implementations,":[11],"which":[12],"are":[13,80],"constructed":[14],"by":[15,53,83],"DCT":[16,31],"and":[17,21,43,62,74],"DST":[18,33],"matrices,":[19],"adders,":[20],"bit-shifters,":[22],"for":[23,96],"lossy-to-lossless":[24,122],"image":[25,101,123],"coding":[26,102,124],"in":[27,77],"this":[28],"paper.":[29],"Each":[30],"or":[32],"matrix":[34],"is":[35,45,51],"directly":[36],"used":[37,95],"to":[38,126],"each":[39],"lifting":[40,87],"coefficient":[41],"block":[42,117],"it":[44],"called":[46],"DCT-lifting":[47,64],"structure.":[48],"The":[49],"structure":[50],"obtained":[52],"considering":[54],"parallel":[55],"processing":[56],"two":[58],"`same'":[59],"type":[60],"LTs":[61],"using":[63],"factorizations":[65],"as":[66],"our":[67],"previous":[68],"work.":[69],"Furthermore,":[70],"the":[71,78,99,107,127],"Hadamard":[72],"transform":[73,93],"scaling":[75],"parts":[76],"RevLTs":[79,109],"effectively":[81],"implemented":[82],"extending":[84],"2D":[85],"non-separable":[86],"structures":[88],"derived":[89],"from":[90],"lifting-based":[91],"(L-LT)":[94],"JPEG":[97],"XR,":[98],"newest":[100],"standard.":[103],"As":[104],"result,":[106],"proposed":[108],"achieve":[110],"not":[111],"only":[112],"implementations":[114],"any":[116],"size,":[118],"but":[119],"also":[120],"comparable":[121],"performance":[125],"conventional":[128],"RevLTs.":[129]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}