{"id":"https://openalex.org/W2156869623","doi":"https://doi.org/10.1109/isspa.2010.5605449","title":"Impulsive noise removal from images using sparse representation and optimization methods","display_name":"Impulsive noise removal from images using sparse representation and optimization methods","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2156869623","doi":"https://doi.org/10.1109/isspa.2010.5605449","mag":"2156869623"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2010.5605449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2010.5605449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)","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/A5031190340","display_name":"Sajjad Beygiharchegani","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sajjad Beygi-Harchegani","raw_affiliation_strings":["Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034679775","display_name":"MohammadMehdi Kafashan","orcid":"https://orcid.org/0000-0002-1712-0223"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammadmehdi Kafashan","raw_affiliation_strings":["Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069159448","display_name":"Farokh Marvasti","orcid":"https://orcid.org/0000-0002-4635-8986"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farokh Marvasti","raw_affiliation_strings":["Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Communications Research Institute ACRI, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6458,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73393277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"480","last_page":"483"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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/sparse-approximation","display_name":"Sparse approximation","score":0.839771568775177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690536618232727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6300989389419556},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6082541346549988},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5445951223373413},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5220991373062134},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5159562230110168},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5039038062095642},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49528828263282776},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.480244904756546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4639866352081299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4457809329032898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.327319860458374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26907509565353394}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.839771568775177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690536618232727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6300989389419556},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6082541346549988},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5445951223373413},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5220991373062134},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5159562230110168},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5039038062095642},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49528828263282776},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.480244904756546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4639866352081299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4457809329032898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.327319860458374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26907509565353394},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2010.5605449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2010.5605449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1979281902","https://openalex.org/W1986676110","https://openalex.org/W1999905919","https://openalex.org/W2074192443","https://openalex.org/W2081933987","https://openalex.org/W2090356242","https://openalex.org/W2100068253","https://openalex.org/W2100249676","https://openalex.org/W2122374500","https://openalex.org/W2124139674","https://openalex.org/W2125832591","https://openalex.org/W2142781271","https://openalex.org/W2148358298","https://openalex.org/W2148416148","https://openalex.org/W2160547390"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W110819671","https://openalex.org/W2388952560","https://openalex.org/W2149282631","https://openalex.org/W2011611369","https://openalex.org/W2204991413"],"abstract_inverted_index":{"In":[0,79],"this":[1,56,80],"paper,":[2],"we":[3,82],"propose":[4],"a":[5,28,70],"new":[6],"method":[7,81],"for":[8],"impulsive":[9],"noise":[10],"removal":[11],"from":[12,55],"images.":[13],"It":[14],"uses":[15],"the":[16,43,85],"sparsity":[17],"of":[18,27,64],"natural":[19],"images":[20],"when":[21],"they":[22],"are":[23,46],"expanded":[24],"by":[25,48],"mean":[26],"good":[29],"learned":[30],"dictionary.":[31],"The":[32],"zeros":[33],"in":[34,61,91],"sparse":[35,62,71,92],"domain":[36,63,93],"give":[37],"us":[38],"an":[39],"idea":[40,53],"to":[41,88],"reconstruct":[42],"pixels":[44],"that":[45,58,84],"corrupted":[47],"random-value":[49],"impulse":[50],"noises.":[51],"This":[52],"comes":[54],"reality":[57],"noisy":[59],"image":[60,66,77,90],"original":[65,76],"will":[67],"not":[68],"have":[69],"representation":[72],"as":[73,75],"much":[74],"sparsity.":[78],"assume":[83],"proper":[86],"dictionary":[87],"achieve":[89],"is":[94],"available.":[95]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}