{"id":"https://openalex.org/W4411726039","doi":"https://doi.org/10.1109/iscas56072.2025.11044263","title":"Grouped Transform for Ultra-Low-Complexity Learned Image Compression","display_name":"Grouped Transform for Ultra-Low-Complexity Learned Image Compression","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726039","doi":"https://doi.org/10.1109/iscas56072.2025.11044263"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11044263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100591510","display_name":"Wen Tan","orcid":"https://orcid.org/0000-0001-8560-7554"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Tan","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087556686","display_name":"Youneng Bao","orcid":"https://orcid.org/0000-0003-3781-6938"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youneng Bao","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038040039","display_name":"Fanyang Meng","orcid":"https://orcid.org/0000-0001-5725-2178"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanyang Meng","raw_affiliation_strings":["Peng Cheng Laboratory,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100657559","display_name":"Yongsheng Liang","orcid":"https://orcid.org/0000-0002-0891-5577"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Liang","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11255911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9905999898910522,"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":0.9905999898910522,"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":0.9785000085830688,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9715999960899353,"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/image-compression","display_name":"Image compression","score":0.6483267545700073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6182140111923218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277312994003296},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5144710540771484},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5138578414916992},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5004253387451172},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4644911587238312},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.4121026396751404},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2933989465236664},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2865481376647949},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18062081933021545},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07159662246704102}],"concepts":[{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6483267545700073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6182140111923218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277312994003296},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5144710540771484},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5138578414916992},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5004253387451172},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4644911587238312},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.4121026396751404},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2933989465236664},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2865481376647949},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18062081933021545},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07159662246704102}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11044263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2140196014","https://openalex.org/W2183341477","https://openalex.org/W2476548250","https://openalex.org/W2883780447","https://openalex.org/W2963163009","https://openalex.org/W2982083293","https://openalex.org/W3034469748","https://openalex.org/W3035414587","https://openalex.org/W3091266734","https://openalex.org/W3202918664","https://openalex.org/W3206996732","https://openalex.org/W4223425316","https://openalex.org/W4283320592","https://openalex.org/W4283805579","https://openalex.org/W4309134821","https://openalex.org/W4312653295","https://openalex.org/W4312806968","https://openalex.org/W4362496227","https://openalex.org/W4386075611","https://openalex.org/W4390873640","https://openalex.org/W4402754291"],"related_works":["https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"Existing":[0],"learned":[1],"image":[2,39],"compression":[3,40],"(LIC)":[4],"methods":[5],"have":[6],"shown":[7],"strong":[8],"performance":[9,146],"advantages":[10],"but":[11,153],"also":[12,154],"bring":[13],"high":[14,29],"computational":[15,30,130,169],"complexity,":[16],"making":[17],"it":[18],"challenging":[19],"to":[20,53,110],"deploy":[21],"them":[22],"on":[23],"resource-constrained":[24],"devices.":[25],"To":[26],"reduce":[27,111],"the":[28,80,89,92,120,156],"and":[31,45,61,88,105,113,132,150],"storage":[32],"cost,":[33],"we":[34],"propose":[35],"a":[36,126],"fully":[37],"grouped":[38],"network":[41,72,133],"by":[42,57],"introducing":[43],"spatial":[44,81,85],"channel":[46,93,121],"grouping":[47,82,94,122],"operations.":[48],"Grouping":[49],"operation":[50],"is":[51,79,91],"helpful":[52],"obtain":[54],"compact":[55],"representations":[56],"aggregating":[58],"similar":[59],"features":[60,65],"reducing":[62],"redundancy":[63,112],"between":[64,129],"in":[66,119],"LIC":[67,177],"task.":[68],"Specifically,":[69],"our":[70,139,161],"proposed":[71,162],"consists":[73],"of":[74,116],"two":[75],"efficient":[76],"parts,":[77],"one":[78],"transform":[83,95],"for":[84,96],"resolution":[86],"sampling,":[87],"other":[90],"nonlinear":[97],"representation":[98],"capability":[99],"enhancement.":[100],"Moreover,":[101],"convolutional":[102],"kernel":[103],"factorization":[104],"inverted":[106],"bottleneck":[107],"are":[108],"used":[109],"enrich":[114],"information":[115],"each":[117],"group":[118],"transform,":[123],"which":[124],"achieve":[125],"good":[127],"balance":[128],"complexity":[131,170],"performance.":[134],"Experimental":[135],"results":[136],"show":[137],"that":[138],"method":[140],"not":[141],"only":[142],"achieves":[143],"competitive":[144],"rate-distortion":[145],"with":[147,174],"fewer":[148],"KMACs/pixel":[149],"model":[151],"parameters,":[152],"reduces":[155],"real-world":[157],"runtime.":[158],"In":[159],"particular,":[160],"models":[163],"provide":[164],"at":[165],"least":[166],"over":[167],"84.6%":[168],"reduction":[171],"when":[172],"compared":[173],"several":[175],"advanced":[176],"methods.":[178]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
