{"id":"https://openalex.org/W2148332066","doi":"https://doi.org/10.1109/icip.2008.4712396","title":"A novel design of criticially sampled contourlet transform and its application to image coding","display_name":"A novel design of criticially sampled contourlet transform and its application to image coding","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2148332066","doi":"https://doi.org/10.1109/icip.2008.4712396","mag":"2148332066"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5061998273","display_name":"Shizuka Higaki","orcid":null},"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":"Shizuka Higaki","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"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/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":"Seisuke Kyochi","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007311789","display_name":"Yuichi Tanaka","orcid":"https://orcid.org/0000-0003-4010-3154"},"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":"Yuichi Tanaka","raw_affiliation_strings":["Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"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":["Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":1.013,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75132128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2880","last_page":"2883"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9972000122070312,"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/contourlet","display_name":"Contourlet","score":0.8640609979629517},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5908820033073425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5615463852882385},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5088322758674622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41477733850479126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3819437623023987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26731306314468384},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.10936444997787476}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8640609979629517},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5908820033073425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5615463852882385},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5088322758674622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41477733850479126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3819437623023987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26731306314468384},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.10936444997787476},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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":8,"referenced_works":["https://openalex.org/W1481646516","https://openalex.org/W2097179924","https://openalex.org/W2103504761","https://openalex.org/W2117853853","https://openalex.org/W2120041316","https://openalex.org/W2135558746","https://openalex.org/W2140894462","https://openalex.org/W6680297669"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"In":[0,37],"this":[1,94],"paper,":[2],"a":[3,48,57,80],"novel":[4],"design":[5,44],"method":[6],"of":[7,18,31],"critically":[8],"sampled":[9],"contourlet":[10],"transform":[11],"(CSCT)":[12],"is":[13,54],"proposed.":[14],"Although,":[15],"several":[16],"types":[17],"CSCT":[19,64,98],"have":[20,24],"been":[21],"proposed,":[22],"they":[23],"some":[25],"problems":[26],"on":[27,47,56],"efficiency":[28],"and":[29,74,103],"flexibility":[30],"their":[32],"frequency":[33,67,82,105],"plane":[34,68,83,106],"partition":[35,107],"patterns.":[36],"contrast":[38],"to":[39,79],"the":[40,51,62,66,86,96],"way":[41],"in":[42],"conventional":[43,87],"methods":[45],"based":[46,55],"\"top-down\"":[49],"approach,":[50],"proposed":[52,63,97],"one":[53],"\"bottom-up\"":[58],"one.":[59],"That":[60],"is,":[61],"decomposes":[65],"into":[69,90],"small":[70],"directional":[71],"sub-":[72],"bands,":[73],"then":[75],"synthesizes":[76],"them":[77],"up":[78],"target":[81],"partition,":[84],"while":[85],"ones":[88],"decompose":[89],"it":[91],"directly.":[92],"By":[93],"way,":[95],"can":[99],"provide":[100],"an":[101],"efficient":[102],"flexible":[104],"for":[108],"image":[109],"coding.":[110]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
