{"id":"https://openalex.org/W2112687496","doi":"https://doi.org/10.1109/icip.2007.4379007","title":"Telegraph-Diffusion Operator for Image Enhancement","display_name":"Telegraph-Diffusion Operator for Image Enhancement","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2112687496","doi":"https://doi.org/10.1109/icip.2007.4379007","mag":"2112687496"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379007","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"2007 IEEE International Conference on Image Processing","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/A5091763855","display_name":"Vadim Ratner","orcid":"https://orcid.org/0000-0001-5296-8097"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Vadim Ratner","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Technion-Israel Inst. of Tech., Haifa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion-Israel Inst. of Tech., Haifa","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113573491","display_name":"Yehoshua Y. Zeevi","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yehoshua Y. Zeevi","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Technion-Israel Inst. of Tech., Haifa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Technion-Israel Inst. of Tech., Haifa","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.6579,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72936502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"17","issue":null,"first_page":"I ","last_page":" 525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7879279851913452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264908909797668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6022589802742004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5824291110038757},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.548085629940033},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5380095839500427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5327059626579285},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.52880859375},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5251388549804688},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.500779390335083},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4577734172344208},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4302576780319214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3481047749519348}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7879279851913452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264908909797668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022589802742004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5824291110038757},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.548085629940033},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5380095839500427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5327059626579285},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.52880859375},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5251388549804688},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.500779390335083},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4577734172344208},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4302576780319214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3481047749519348},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379007","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"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":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W127809959","https://openalex.org/W2047625347","https://openalex.org/W2150134853","https://openalex.org/W2165015795","https://openalex.org/W2170031024","https://openalex.org/W2497646188"],"related_works":["https://openalex.org/W2562072950","https://openalex.org/W2792489537","https://openalex.org/W2962819983","https://openalex.org/W2968419879","https://openalex.org/W3169734547","https://openalex.org/W4310175020","https://openalex.org/W2742029448","https://openalex.org/W2571757032","https://openalex.org/W2049757131","https://openalex.org/W2947891047"],"abstract_inverted_index":{"Image":[0],"denoising":[1,82],"and":[2,37,48,80],"enhancement":[3],"problems":[4],"have":[5],"many":[6],"physical":[7],"analogues":[8],"that":[9,54],"highlight":[10],"new":[11],"approaches":[12],"to":[13,76],"novel":[14],"solutions.":[15],"One":[16],"such":[17],"solution,":[18],"based":[19],"on":[20,50],"viewing":[21],"the":[22,41,63],"image":[23],"as":[24],"elastic":[25,73],"sheet,":[26],"is":[27,35],"presented.":[28],"A":[29],"processing":[30],"scheme":[31],"for":[32],"grayscale":[33],"images":[34,52],"outlined":[36],"further":[38],"considered":[39],"in":[40],"context":[42],"of":[43,58,65],"color":[44,67],"images.":[45],"Preliminary":[46],"analysis":[47,71],"simulations":[49],"noisy":[51],"indicate":[53],"multidimensional":[55],"manifold":[56],"representation":[57],"combined":[59],"space-color":[60],"information":[61],"incorporates":[62],"advantages":[64],"separate":[66],"channel":[68],"representations.":[69],"Experimental":[70],"reveals":[72],"sheet":[74],"method":[75],"be":[77],"a":[78],"powerful":[79],"robust":[81],"tool,":[83],"which":[84],"preserves":[85],"most":[86],"meaningful":[87],"details.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}