{"id":"https://openalex.org/W4415708777","doi":"https://doi.org/10.1109/icme59968.2025.11208934","title":"HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution","display_name":"HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708777","doi":"https://doi.org/10.1109/icme59968.2025.11208934"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11208934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5041639945","display_name":"Baisong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baisong Li","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101709669","display_name":"Xingwang Wang","orcid":"https://orcid.org/0000-0001-6466-8876"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwang Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017173606","display_name":"Haixiao Xu","orcid":"https://orcid.org/0009-0003-2143-2048"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixiao Xu","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":2.4748,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90822332,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.7652999758720398,"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":0.7652999758720398,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.18549999594688416,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.013199999928474426,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7350999712944031},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5760999917984009},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5299000144004822},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.49799999594688416},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.40630000829696655},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4032999873161316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3944999873638153},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.38920000195503235}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7350999712944031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6606000065803528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407999992370605},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5659999847412109},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5299000144004822},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.49799999594688416},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3944999873638153},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2533999979496002},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11208934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2752782242","https://openalex.org/W3025440211","https://openalex.org/W3167568784","https://openalex.org/W3207918547","https://openalex.org/W4313007769","https://openalex.org/W4386766980","https://openalex.org/W4390873790","https://openalex.org/W4402952320","https://openalex.org/W4403791295","https://openalex.org/W4406457474","https://openalex.org/W4407098043","https://openalex.org/W4408352222","https://openalex.org/W4410915127"],"related_works":[],"abstract_inverted_index":{"Single":[0],"hyperspectral":[1,12],"image":[2,44],"super-resolution":[3,94],"(SHSR)":[4],"aims":[5],"to":[6,31,67,80],"restore":[7],"high-resolution":[8],"images":[9],"from":[10,40,71],"low-resolution":[11],"images.":[13],"Recently,":[14],"the":[15,36,55],"Visual":[16,59],"Mamba":[17],"model":[18,37,109],"has":[19],"achieved":[20],"an":[21],"impressive":[22],"balance":[23],"between":[24,84],"performance":[25],"and":[26,88,108],"computational":[27,56,106],"efficiency.":[28],"However,":[29],"due":[30],"its":[32],"1D":[33],"scanning":[34,65],"paradigm,":[35],"may":[38],"suffer":[39],"potential":[41],"artifacts":[42,70],"during":[43],"generation.":[45],"To":[46],"address":[47],"this":[48],"issue,":[49],"we":[50,61],"propose":[51],"HSRMamba.":[52],"While":[53],"maintaining":[54],"efficiency":[57],"of":[58],"Mamba,":[60],"introduce":[62],"a":[63],"strip-based":[64],"scheme":[66],"effectively":[68],"reduce":[69],"global":[72],"unidirectional":[73],"scanning.":[74],"Additionally,":[75],"HSRMamba":[76,100],"uses":[77],"wavelet":[78],"decomposition":[79],"alleviate":[81],"modal":[82],"conflicts":[83],"high-frequency":[85],"spatial":[86],"features":[87],"low-frequency":[89],"spectral":[90],"features,":[91],"further":[92],"improving":[93],"performance.":[95],"Extensive":[96],"experiments":[97],"show":[98],"that":[99],"not":[101],"only":[102],"excels":[103],"in":[104],"reducing":[105],"load":[107],"size":[110],"but":[111],"also":[112],"outperforms":[113],"existing":[114],"methods,":[115],"achieving":[116],"state-of-the-art":[117],"results.":[118],"The":[119],"open-source":[120],"code":[121],"is":[122],"available":[123],"at:":[124],"https://github.com/oldsweet/HSRMamba.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-30T00:00:00"}