{"id":"https://openalex.org/W2794426986","doi":"https://doi.org/10.1109/icip.2017.8296934","title":"Stripe noise removal of remote sensing image with a directional l&lt;inf&gt;0&lt;/inf&gt; sparse model","display_name":"Stripe noise removal of remote sensing image with a directional l&lt;inf&gt;0&lt;/inf&gt; sparse model","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2794426986","doi":"https://doi.org/10.1109/icip.2017.8296934","mag":"2794426986"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001380540","display_name":"Hong-Xia Dou","orcid":"https://orcid.org/0000-0002-4925-0241"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Xia Dou","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224232","display_name":"Liang-Jian Deng","orcid":"https://orcid.org/0000-0003-3178-9772"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang-Jian Deng","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454404","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-5052-5919"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["School of Mathematical Sciences, University of Electronic Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3505","last_page":"3509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9990000128746033,"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":0.6858713626861572},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6680858135223389},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6633254885673523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5791721343994141},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5180659294128418},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5025026798248291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47225919365882874},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.43578875064849854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.359289288520813},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.262706995010376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18508118391036987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858713626861572},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6680858135223389},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6633254885673523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5791721343994141},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5180659294128418},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5025026798248291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47225919365882874},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.43578875064849854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.359289288520813},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.262706995010376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18508118391036987},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1932857509","https://openalex.org/W1944540851","https://openalex.org/W1964997286","https://openalex.org/W1979072167","https://openalex.org/W1988868707","https://openalex.org/W1994040806","https://openalex.org/W2034671455","https://openalex.org/W2045147903","https://openalex.org/W2061202829","https://openalex.org/W2110940063","https://openalex.org/W2133132088","https://openalex.org/W2133665775","https://openalex.org/W2146842127","https://openalex.org/W2148273275","https://openalex.org/W2153717194","https://openalex.org/W2156366154","https://openalex.org/W2165802701","https://openalex.org/W2326587421","https://openalex.org/W2515271729","https://openalex.org/W2527114552","https://openalex.org/W2962869147"],"related_works":["https://openalex.org/W2357322570","https://openalex.org/W2997591215","https://openalex.org/W2227541280","https://openalex.org/W2029783634","https://openalex.org/W2979181971","https://openalex.org/W2888591766","https://openalex.org/W90581812","https://openalex.org/W2808332603","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"This":[0],"paper":[1],"commits":[2],"to":[3,8,86],"remove":[4],"the":[5,10,18,29,55,65,73,100],"stripe":[6,62],"noise":[7],"enhance":[9],"visual":[11],"quality":[12],"of":[13,23,27,34,54,61,78],"remote":[14,46],"sensing":[15,47],"images,":[16],"in":[17],"meanwhile":[19],"preserves":[20],"image":[21,31,48],"details":[22],"stripe-free":[24],"regions.":[25],"Instead":[26],"solving":[28],"underlying":[30],"as":[32],"most":[33],"researches,":[35],"we":[36],"propose":[37],"a":[38,87],"non-convex":[39,67],"l":[40],"<inf":[41],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[42],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</inf>":[43],"model":[44,68],"for":[45],"destriping":[49,106],"by":[50,72],"taking":[51],"full":[52],"consideration":[53],"intrinsically":[56],"directional":[57],"and":[58,95,110],"structural":[59],"priors":[60],"noise.":[63],"Moreover,":[64],"proposed":[66,101],"can":[69],"be":[70],"solved":[71],"proximal":[74],"alternating":[75],"direction":[76],"method":[77,81,102],"multipliers":[79],"(PADMM)":[80],"which":[82],"theoretically":[83],"guarantees":[84],"converging":[85],"KKT":[88],"point.":[89],"Extensively":[90],"experimental":[91],"results":[92],"on":[93],"simulated":[94],"real":[96],"data":[97],"demonstrate":[98],"that":[99],"outperforms":[103],"recent":[104],"state-of-the-art":[105],"methods,":[107],"both":[108],"visually":[109],"quantitatively.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}