{"id":"https://openalex.org/W4389474671","doi":"https://doi.org/10.1109/mmsp59012.2023.10337703","title":"Improved Transform Structures for Learned Wavelet-Like Fully Scalable Image Compression","display_name":"Improved Transform Structures for Learned Wavelet-Like Fully Scalable Image Compression","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474671","doi":"https://doi.org/10.1109/mmsp59012.2023.10337703"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","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/A5100357330","display_name":"Xinyue Li","orcid":"https://orcid.org/0000-0002-9200-3537"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Xinyue Li","raw_affiliation_strings":["University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038967018","display_name":"Aous Thabit Naman","orcid":"https://orcid.org/0000-0002-5774-7143"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aous Naman","raw_affiliation_strings":["University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056716947","display_name":"David Taubman","orcid":"https://orcid.org/0000-0002-8458-6402"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Taubman","raw_affiliation_strings":["University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales,Electrical Engineering and Telecommunications,Sydney,Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100357330"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54756319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9972000122070312,"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/wavelet-transform","display_name":"Wavelet transform","score":0.7310034036636353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986614465713501},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.6957817077636719},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6655372977256775},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6372029781341553},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5810477137565613},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5609825253486633},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5349506139755249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5226737856864929},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.44273319840431213},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.42889833450317383},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4283982813358307},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.42827218770980835},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41927871108055115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.354631245136261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33679890632629395},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25132113695144653},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.13029155135154724},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.055507779121398926}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7310034036636353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986614465713501},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.6957817077636719},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6655372977256775},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6372029781341553},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5810477137565613},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5609825253486633},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5349506139755249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5226737856864929},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.44273319840431213},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.42889833450317383},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4283982813358307},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.42827218770980835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41927871108055115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.354631245136261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33679890632629395},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25132113695144653},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.13029155135154724},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.055507779121398926},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/mmsp59012.2023.10337703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1974581749","https://openalex.org/W2020919250","https://openalex.org/W2117188745","https://openalex.org/W2118217749","https://openalex.org/W2135469284","https://openalex.org/W2169997788","https://openalex.org/W2490784316","https://openalex.org/W2552465432","https://openalex.org/W2597747080","https://openalex.org/W2604392022","https://openalex.org/W2962676454","https://openalex.org/W2964098744","https://openalex.org/W3017123215","https://openalex.org/W3088142143","https://openalex.org/W3090633065","https://openalex.org/W3194617595","https://openalex.org/W3195664484","https://openalex.org/W4200532613","https://openalex.org/W4206253130","https://openalex.org/W4251101141","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W4297792979","https://openalex.org/W4308235572","https://openalex.org/W4392488206","https://openalex.org/W6631190155","https://openalex.org/W6734035190"],"related_works":["https://openalex.org/W2059234650","https://openalex.org/W1588899229","https://openalex.org/W2534725092","https://openalex.org/W1513700015","https://openalex.org/W2085792030","https://openalex.org/W2023142747","https://openalex.org/W68308810","https://openalex.org/W2132530462","https://openalex.org/W2101997086","https://openalex.org/W2173526700"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"features":[3],"and":[4,25],"performance":[5],"of":[6,28,50],"different":[7,21],"structures":[8],"for":[9],"learned":[10,76,84],"wavelet-like":[11],"transforms":[12],"in":[13],"fully":[14],"scalable":[15],"image":[16],"compression.":[17],"Specifically,":[18],"we":[19],"explore":[20],"neural":[22],"network":[23,45],"topologies":[24],"various":[26],"arrangements":[27],"lifting":[29,77,85],"steps":[30,78],"to":[31],"improve":[32],"the":[33,42,60],"existing":[34],"wavelet":[35,72],"transform.":[36],"Experimental":[37],"results":[38],"strongly":[39],"suggest":[40],"that":[41,67],"proposed":[43],"proposal-opacity":[44],"topology,":[46],"comprising":[47],"a":[48,69],"collection":[49],"linear":[51],"predictions":[52],"modulated":[53],"by":[54],"non-linear":[55],"opacities,":[56],"performs":[57,79],"better":[58,81],"than":[59,82],"other":[61,83],"considered":[62],"designs.":[63],"Results":[64],"also":[65],"show":[66],"augmenting":[68],"good":[70],"base":[71],"transform":[73],"with":[74],"two":[75],"significantly":[80],"structures,":[86],"achieving":[87],"26.8%":[88],"bit-rate":[89],"savings":[90],"over":[91],"JPEG":[92],"2000.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}