{"id":"https://openalex.org/W2617543657","doi":"https://doi.org/10.1109/icassp.2017.7953015","title":"Directional discrete cosine transforms arising from discrete cosine and sine transforms for directional block-wise image representation","display_name":"Directional discrete cosine transforms arising from discrete cosine and sine transforms for directional block-wise image representation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2617543657","doi":"https://doi.org/10.1109/icassp.2017.7953015","mag":"2617543657"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5065223840","display_name":"Tomohiro Ichita","orcid":null},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Ichita","raw_affiliation_strings":["The University of Kitakyushu, Kitakyushu, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Kitakyushu, Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070866771","display_name":"Seisuke Kyochi","orcid":"https://orcid.org/0000-0002-2383-0176"},"institutions":[{"id":"https://openalex.org/I17056963","display_name":"The University of Kitakyushu","ror":"https://ror.org/03mfefw72","country_code":"JP","type":"education","lineage":["https://openalex.org/I17056963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seisuke Kyochi","raw_affiliation_strings":["The University of Kitakyushu, Kitakyushu, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Kitakyushu, Kitakyushu, Fukuoka, Japan","institution_ids":["https://openalex.org/I17056963"]}]},{"author_position":"middle","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":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007311789","display_name":"Yuichi Tanaka","orcid":"https://orcid.org/0000-0003-4010-3154"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Tanaka","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.03416356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"38","issue":null,"first_page":"4536","last_page":"4540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8236149549484253},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.8128734230995178},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.7320698499679565},{"id":"https://openalex.org/keywords/sine-and-cosine-transforms","display_name":"Sine and cosine transforms","score":0.7006372213363647},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.6269881725311279},{"id":"https://openalex.org/keywords/discrete-sine-transform","display_name":"Discrete sine transform","score":0.49738290905952454},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49345579743385315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48692524433135986},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.47364962100982666},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.4538090229034424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44437873363494873},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.44087332487106323},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41893649101257324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4137961268424988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41321516036987305},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.41216087341308594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3889733850955963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36792120337486267},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3451218903064728},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.32982373237609863},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.16407465934753418},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.1517001986503601},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.14554524421691895},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.1390933394432068},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11698389053344727},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08157601952552795}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8236149549484253},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8128734230995178},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.7320698499679565},{"id":"https://openalex.org/C47615080","wikidata":"https://www.wikidata.org/wiki/Q1328722","display_name":"Sine and cosine transforms","level":5,"score":0.7006372213363647},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.6269881725311279},{"id":"https://openalex.org/C167058841","wikidata":"https://www.wikidata.org/wiki/Q971039","display_name":"Discrete sine transform","level":5,"score":0.49738290905952454},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49345579743385315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48692524433135986},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47364962100982666},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.4538090229034424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44437873363494873},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.44087332487106323},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41893649101257324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4137961268424988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41321516036987305},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.41216087341308594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3889733850955963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36792120337486267},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3451218903064728},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.32982373237609863},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.16407465934753418},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.1517001986503601},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.14554524421691895},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.1390933394432068},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11698389053344727},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08157601952552795},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":38,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1916685473","https://openalex.org/W1975754844","https://openalex.org/W1983396674","https://openalex.org/W1994281301","https://openalex.org/W1998991750","https://openalex.org/W2014241727","https://openalex.org/W2015050489","https://openalex.org/W2018332268","https://openalex.org/W2027579212","https://openalex.org/W2036946259","https://openalex.org/W2044810215","https://openalex.org/W2050994466","https://openalex.org/W2060331468","https://openalex.org/W2061171222","https://openalex.org/W2066348733","https://openalex.org/W2073930611","https://openalex.org/W2082473969","https://openalex.org/W2092663520","https://openalex.org/W2114423093","https://openalex.org/W2115032519","https://openalex.org/W2117853853","https://openalex.org/W2121413950","https://openalex.org/W2123031198","https://openalex.org/W2129367855","https://openalex.org/W2132680427","https://openalex.org/W2133833176","https://openalex.org/W2138833133","https://openalex.org/W2146395539","https://openalex.org/W2153663612","https://openalex.org/W2154952447","https://openalex.org/W2160547390","https://openalex.org/W2169095149","https://openalex.org/W2439686107","https://openalex.org/W3100489614","https://openalex.org/W3106359998","https://openalex.org/W3123837026","https://openalex.org/W4229650096"],"related_works":["https://openalex.org/W1992316897","https://openalex.org/W2022872995","https://openalex.org/W610997267","https://openalex.org/W2148433847","https://openalex.org/W4298977857","https://openalex.org/W1815188380","https://openalex.org/W1989225655","https://openalex.org/W2101402470","https://openalex.org/W2128618986","https://openalex.org/W2385961434"],"abstract_inverted_index":{"Directional":[0],"block":[1],"transforms":[2,60,71],"(DBTs),":[3],"such":[4,21,32],"as":[5,22,33],"discrete":[6,58,64],"Fourier":[7],"transforms,":[8,20],"are":[9,84],"basically":[10],"less":[11,34,37],"efficient":[12,52,89],"for":[13,90],"sparse":[14],"image":[15,91,104],"representation":[16],"than":[17,78],"directional":[18,57,74],"overlapped":[19],"curvelet":[23],"and":[24,45,66,81,93],"contourlet,":[25],"but":[26],"have":[27],"advantages":[28],"in":[29,103],"practical":[30],"computation,":[31],"computational":[35],"cost,":[36],"amount":[38],"of":[39,76],"memory":[40],"usage":[41],"to":[42,50,86],"be":[43,87],"used,":[44],"parallel":[46],"processing.":[47,94],"In":[48,95],"order":[49],"realize":[51],"DBTs,":[53,80],"this":[54],"paper":[55],"proposes":[56],"cosine":[59,65],"(DDCTs)":[61],"by":[62,106],"using":[63],"sine":[67],"transforms.":[68],"The":[69],"resulting":[70],"provide":[72],"richer":[73],"orientations":[75],"atoms":[77],"conventional":[79,101],"thus":[82],"they":[83],"expected":[85],"more":[88],"analysis":[92],"experiments,":[96],"we":[97],"evaluate":[98],"DDCTs":[99],"with":[100],"DBTs":[102],"recovery":[105],"a":[107],"convex":[108],"optimization.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
