{"id":"https://openalex.org/W1992687477","doi":"https://doi.org/10.1109/tmm.2013.2284759","title":"Self-Learning Based Image Decomposition With Applications to Single Image Denoising","display_name":"Self-Learning Based Image Decomposition With Applications to Single Image Denoising","publication_year":2013,"publication_date":"2013-10-07","ids":{"openalex":"https://openalex.org/W1992687477","doi":"https://doi.org/10.1109/tmm.2013.2284759","mag":"1992687477"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2013.2284759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2284759","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5052829033","display_name":"De-An Huang","orcid":"https://orcid.org/0000-0002-6945-7768"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"De-An Huang","raw_affiliation_strings":["Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106664802","display_name":"Li\u2010Wei Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Li-Wei Kang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Graduate School of Engineering Science and Technology-Doctoral Program, Yunlin, Taiwan","[Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Graduate School of Engineering Science and Technology-Doctoral Program, Yunlin, Taiwan","institution_ids":["https://openalex.org/I75357094"]},{"raw_affiliation_string":"[Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan]","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]},{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["Department of Electrical Engineering, Institute of Communications Engineering, Hsinchu, Taiwan","Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Communications Engineering, Hsinchu, Taiwan","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052829033"],"corresponding_institution_ids":["https://openalex.org/I29955533","https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":6.6345,"has_fulltext":false,"cited_by_count":227,"citation_normalized_percentile":{"value":0.97154809,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"16","issue":"1","first_page":"83","last_page":"93"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7405871748924255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7131540775299072},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.7053337097167969},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6182430386543274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5721054077148438},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5483900904655457},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5479875802993774},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5088313221931458},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4780983626842499},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4750661551952362},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4593532383441925},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4478505551815033},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4300442636013031},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38459473848342896},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.14715975522994995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405871748924255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7131540775299072},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.7053337097167969},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6182430386543274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5721054077148438},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5483900904655457},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5479875802993774},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5088313221931458},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4780983626842499},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4750661551952362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593532383441925},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4478505551815033},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4300442636013031},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38459473848342896},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.14715975522994995},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2013.2284759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2284759","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.686.917","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.686.917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.citi.sinica.edu.tw/papers/ycwang/3657-F.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1965572510","https://openalex.org/W1976056157","https://openalex.org/W1976709621","https://openalex.org/W2005876512","https://openalex.org/W2010641531","https://openalex.org/W2056370875","https://openalex.org/W2059921811","https://openalex.org/W2093212899","https://openalex.org/W2096672847","https://openalex.org/W2099244020","https://openalex.org/W2109305553","https://openalex.org/W2112447569","https://openalex.org/W2114122776","https://openalex.org/W2121396509","https://openalex.org/W2121651107","https://openalex.org/W2122596619","https://openalex.org/W2136396015","https://openalex.org/W2140742952","https://openalex.org/W2145889472","https://openalex.org/W2151693816","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2161969291","https://openalex.org/W2163112044","https://openalex.org/W2163146621","https://openalex.org/W2165232124","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2794492057","https://openalex.org/W2370766994","https://openalex.org/W2553888904","https://openalex.org/W2028114880","https://openalex.org/W2304784405","https://openalex.org/W2777054541","https://openalex.org/W2351561947","https://openalex.org/W3213523319","https://openalex.org/W2353554252","https://openalex.org/W1992687477"],"abstract_inverted_index":{"Decomposition":[0],"of":[1,43,60,104,136,202],"an":[2,10,51],"image":[3,16,21,35,63,80,105,125,145,159,167,177,211],"into":[4],"multiple":[5],"semantic":[6],"components":[7,91,126],"has":[8],"been":[9],"effective":[11],"research":[12],"topic":[13],"for":[14,64,101],"various":[15],"processing":[17,146],"applications":[18,103],"such":[19,169],"as":[20,170],"denoising,":[22,106],"enhancement,":[23],"and":[24,175,191,200],"inpainting.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,107,165],"present":[30],"a":[31],"novel":[32],"self-learning":[33],"based":[34],"decomposition":[36],"framework.":[37],"Based":[38],"on":[39,71,182],"the":[40,46,55,61,72,98,102,113,123,129,134,171,198],"recent":[41],"success":[42],"sparse":[44,149],"representation,":[45,150],"proposed":[47,99],"framework":[48],"first":[49],"learns":[50],"over-complete":[52],"dictionary":[53,74],"from":[54,122,128,143],"high":[56],"spatial":[57],"frequency":[58],"parts":[59],"input":[62,130,174],"reconstruction":[65],"purposes.":[66],"We":[67,179],"perform":[68],"unsupervised":[69],"clustering":[70],"observed":[73],"atoms":[75],"(and":[76],"their":[77],"corresponding":[78],"reconstructed":[79],"versions)":[81],"via":[82],"affinity":[83],"propagation,":[84],"which":[85,205],"allows":[86],"us":[87],"to":[88,110,156,208],"identify":[89],"image-dependent":[90],"with":[92,148,188],"similar":[93],"context":[94],"information.":[95],"While":[96],"applying":[97],"method":[100,152],"are":[108],"able":[109],"automatically":[111],"determine":[112],"undesirable":[114],"patterns":[115],"(e.g.,":[116],"rain":[117,192],"streaks":[118],"or":[119],"Gaussian":[120,189],"noise)":[121],"derived":[124],"directly":[127],"image,":[131],"so":[132],"that":[133],"task":[135],"single-image":[137,186],"denoising":[138,184,187,212],"can":[139],"be":[140],"addressed.":[141],"Different":[142],"prior":[144],"works":[147],"our":[151,203],"does":[153],"not":[154],"need":[155],"collect":[157],"training":[158],"data":[160],"in":[161],"advance,":[162],"nor":[163],"do":[164],"assume":[166],"priors":[168],"relationship":[172],"between":[173],"output":[176],"dictionaries.":[178],"conduct":[180],"experiments":[181],"two":[183],"problems:":[185],"noise":[190],"removal.":[193],"Our":[194],"empirical":[195],"results":[196],"confirm":[197],"effectiveness":[199],"robustness":[201],"approach,":[204],"is":[206],"shown":[207],"outperform":[209],"state-of-the-art":[210],"algorithms.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":36},{"year":2019,"cited_by_count":30},{"year":2018,"cited_by_count":32},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}