{"id":"https://openalex.org/W2612397051","doi":"https://doi.org/10.1109/ciss.2017.7926122","title":"Edge guided total variation for image denoising","display_name":"Edge guided total variation for image denoising","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2612397051","doi":"https://doi.org/10.1109/ciss.2017.7926122","mag":"2612397051"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2017.7926122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2017.7926122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Annual Conference on Information Sciences and Systems (CISS)","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/A5056557980","display_name":"Ahmed Ben Said","orcid":"https://orcid.org/0000-0002-7760-8132"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Ahmed Ben Said","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018765379","display_name":"Rachid Hadjidj","orcid":"https://orcid.org/0000-0003-0577-1587"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Rachid Hadjidj","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060004234","display_name":"Sebti Foufou","orcid":"https://orcid.org/0000-0002-3555-9125"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Sebti Foufou","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108362036","display_name":"Mongi A. Abidi","orcid":null},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mongi Abidi","raw_affiliation_strings":["Mongi Abidi, University of Tennessee Knoxville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mongi Abidi, University of Tennessee Knoxville, Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"6"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.8341894149780273},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.8201076984405518},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6733137369155884},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6125955581665039},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5595728158950806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5338234901428223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.509690523147583},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5057923793792725},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4786340296268463},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4770866334438324},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4759668707847595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47456222772598267},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.43348631262779236},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.43340200185775757},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4226216971874237},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.3997306525707245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3958936929702759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3930232524871826},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3640254735946655},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.05145561695098877}],"concepts":[{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.8341894149780273},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.8201076984405518},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6733137369155884},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6125955581665039},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5595728158950806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5338234901428223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.509690523147583},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5057923793792725},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4786340296268463},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4770866334438324},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4759668707847595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47456222772598267},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.43348631262779236},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.43340200185775757},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4226216971874237},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.3997306525707245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3958936929702759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3930232524871826},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3640254735946655},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.05145561695098877},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2017.7926122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2017.7926122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/16294","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/16294","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W818014837","https://openalex.org/W1496099826","https://openalex.org/W1978333359","https://openalex.org/W1996287810","https://openalex.org/W2005089986","https://openalex.org/W2011474167","https://openalex.org/W2039939700","https://openalex.org/W2045079989","https://openalex.org/W2053223715","https://openalex.org/W2056370875","https://openalex.org/W2058119580","https://openalex.org/W2067041664","https://openalex.org/W2069027079","https://openalex.org/W2072199881","https://openalex.org/W2074406023","https://openalex.org/W2091494211","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2117017344","https://openalex.org/W2165616974","https://openalex.org/W2167400582","https://openalex.org/W2601119257"],"related_works":["https://openalex.org/W2495078643","https://openalex.org/W233850645","https://openalex.org/W2606645259","https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W2380616154","https://openalex.org/W2362249450","https://openalex.org/W2810018092"],"abstract_inverted_index":{"In":[0],"this":[1,29],"paper,":[2],"we":[3,31],"present":[4],"a":[5,33],"novel":[6],"denoising":[7,72,78,95],"algorithm":[8],"based":[9,37],"on":[10,38,84],"the":[11,39,54,58,66,88,91,104],"Rodin-Osher-Fatemi":[12],"(ROF)":[13],"model.":[14],"The":[15],"goal":[16],"is":[17,51],"to":[18,61],"ensure":[19],"maximum":[20],"noise":[21],"removal":[22],"while":[23],"preserving":[24],"image":[25],"details.":[26],"To":[27],"achieve":[28],"goal,":[30],"developed":[32],"new":[34],"edge":[35,49,81,92],"detector":[36,50],"structure":[40],"tensor,":[41],"Non-Local":[42],"Mean":[43],"filtering":[44],"and":[45,76,97,116],"fuzzy":[46],"complement.":[47],"This":[48],"incorporated":[52],"in":[53,73,110],"objective":[55],"function":[56],"of":[57,68,90,112],"ROF":[59],"model":[60],"introduce":[62],"more":[63,71],"control":[64],"over":[65],"amount":[67],"regularization":[69],"allowing":[70],"smooth":[74],"regions":[75],"less":[77],"when":[79],"processing":[80],"regions.":[82],"Experiments":[83],"synthetic":[85],"images":[86],"demonstrate":[87],"efficiency":[89],"detector.":[93],"Furthermore,":[94],"experiments":[96],"comparison":[98],"with":[99],"other":[100],"algorithms":[101],"show":[102],"that":[103],"proposed":[105],"method":[106],"presents":[107],"good":[108],"performance":[109],"terms":[111],"Peak":[113],"Signal-to-Noise":[114],"Ratio":[115],"Structure":[117],"Similarity":[118],"Index.":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}