{"id":"https://openalex.org/W1927545756","doi":"https://doi.org/10.1109/iwssip.2015.7314212","title":"Texture analysis and synthesis using steerable pyramid decomposition for video coding","display_name":"Texture analysis and synthesis using steerable pyramid decomposition for video coding","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1927545756","doi":"https://doi.org/10.1109/iwssip.2015.7314212","mag":"1927545756"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2015.7314212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-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/A5038867031","display_name":"Uday Singh Thakur","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Uday Singh Thakur","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, D-52056, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, D-52056, Germany#TAB#","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077209715","display_name":"Olena Chubach","orcid":"https://orcid.org/0000-0001-8613-8921"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Olena Chubach","raw_affiliation_strings":["Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, D-52056, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, Germany","institution_ids":["https://openalex.org/I887968799"]},{"raw_affiliation_string":"Institut f\u00fcr Nachrichtentechnik, RWTH Aachen University, D-52056, Germany#TAB#","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038867031"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.9352,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81902979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement 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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.735179603099823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73316890001297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7258137464523315},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.6727359890937805},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.604483962059021},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.5864751935005188},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5747593641281128},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4837779700756073},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4768296778202057},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.44776543974876404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4272681474685669},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4237728714942932},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.42254674434661865},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4177935719490051},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.28502124547958374},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.2535519003868103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2264309823513031},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.19672036170959473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1629241406917572}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.735179603099823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73316890001297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7258137464523315},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.6727359890937805},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.604483962059021},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.5864751935005188},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5747593641281128},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4837779700756073},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4768296778202057},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.44776543974876404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4272681474685669},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4237728714942932},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.42254674434661865},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4177935719490051},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28502124547958374},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.2535519003868103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2264309823513031},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.19672036170959473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1629241406917572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwssip.2015.7314212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2015.7314212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:567883","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/567883","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP 2015) : London, United Kingdom, 10-12 September 2015 / IEEE United Kingdom Republic of Ireland Section, EURASIP, IEEE UK and Ireland Signal Processing Chapter ; edited by: Panos Liatsis, Alena Uus, Shahjahan Miah<br/>2015 International Conference on Systems, Signals and Image Processing (IWSSIP), IWSSIP 2015, London, UK, 2015-09-10 - 2015-09-12","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1991605728","https://openalex.org/W1999360130","https://openalex.org/W1999878383","https://openalex.org/W2006776449","https://openalex.org/W2057589064","https://openalex.org/W2109812093","https://openalex.org/W2116645681","https://openalex.org/W2120038204","https://openalex.org/W2122072454","https://openalex.org/W2127006916","https://openalex.org/W2146395539","https://openalex.org/W2166074691","https://openalex.org/W4213289639","https://openalex.org/W6677873678","https://openalex.org/W7017015366"],"related_works":["https://openalex.org/W2378351030","https://openalex.org/W2577364290","https://openalex.org/W2088785407","https://openalex.org/W2206978521","https://openalex.org/W2169450829","https://openalex.org/W2541950815","https://openalex.org/W2792520941","https://openalex.org/W1809875158","https://openalex.org/W2147246507","https://openalex.org/W1927545756"],"abstract_inverted_index":{"Natural":[0],"textures":[1,60],"like":[2],"grass,":[3],"water,":[4],"sand":[5],"etc.":[6],"contain":[7],"large":[8],"amount":[9],"of":[10,17,42,75,89],"visual":[11],"details":[12,26],"that":[13,83],"consume":[14],"a":[15],"lot":[16],"bitrate":[18],"while":[19],"compressing":[20],"it,":[21],"but":[22],"in":[23],"fact":[24,82],"such":[25,43],"are":[27],"irrelevant":[28],"for":[29,53],"the":[30,81,84,90,99],"human":[31,35],"vision.":[32],"Therefore,":[33],"exploiting":[34],"perception":[36],"properties":[37],"could":[38],"provide":[39],"better":[40],"compression":[41],"data.":[44],"In":[45],"this":[46],"paper":[47],"we":[48],"propose":[49],"two":[50],"novel":[51],"schemes":[52],"identifying":[54],"and":[55,58,69,86],"processing":[56],"static":[57],"dynamic":[59],"based":[61],"on":[62],"2D":[63],"Dual":[64],"Tree":[65],"Complex":[66],"Wavelet":[67],"Transform":[68],"Steerable":[70,76,100],"Pyramid":[71],"Transform.":[72],"The":[73],"use":[74],"Filters":[77],"is":[78],"motivated":[79],"by":[80,98],"frequency":[85],"directional":[87],"selectivity":[88],"Human":[91],"Visual":[92],"System":[93],"can":[94],"be":[95],"well":[96],"modelled":[97],"Filters.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}