{"id":"https://openalex.org/W2997606852","doi":"https://doi.org/10.1109/icccnt45670.2019.8944672","title":"Efficient Reconfigurable Architecture for Enhancing Medical Images","display_name":"Efficient Reconfigurable Architecture for Enhancing Medical Images","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2997606852","doi":"https://doi.org/10.1109/icccnt45670.2019.8944672","mag":"2997606852"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt45670.2019.8944672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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/A5110698265","display_name":"M Shilpa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M Shilpa","raw_affiliation_strings":["Dept of ECE, BMSCE, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Dept of ECE, BMSCE, Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083689942","display_name":"Jayanthi K Murthy","orcid":"https://orcid.org/0000-0002-5565-463X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jayanthi K Murthy","raw_affiliation_strings":["Dept of ECE, BMSCE, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Dept of ECE, BMSCE, Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110698265"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1022,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47350581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/architecture","display_name":"Architecture","score":0.656435489654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471050977706909},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6152095198631287},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.35069775581359863},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07560721039772034}],"concepts":[{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.656435489654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471050977706909},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6152095198631287},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35069775581359863},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07560721039772034},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icccnt45670.2019.8944672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt45670.2019.8944672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},{"id":"mag:3042133225","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002274962868033","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W971269659","https://openalex.org/W2116973876","https://openalex.org/W2119021661","https://openalex.org/W2182577984","https://openalex.org/W2258190601","https://openalex.org/W2525900780","https://openalex.org/W2617624621","https://openalex.org/W2792900111","https://openalex.org/W4211040895","https://openalex.org/W4253959094","https://openalex.org/W6625503775","https://openalex.org/W6685559290"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2038503502"],"abstract_inverted_index":{"The":[0,61,74,95],"enhancement":[1,57],"technique":[2],"plays":[3],"a":[4,31],"significant":[5],"role":[6],"in":[7,117],"image":[8,63],"process":[9],"to":[10,36,69,86,90],"bring":[11],"out":[12],"the":[13,22,28,38,93,98,115],"knowledge":[14],"that":[15,114],"exists":[16],"among":[17],"low":[18],"dynamic":[19],"variation":[20],"of":[21,30,47,58,97,119],"grey":[23],"level":[24],"image.":[25,60],"To":[26],"boost":[27],"standard":[29],"picture,":[32],"it":[33],"is":[34,64,82,100,112],"needed":[35],"perform":[37],"operations":[39],"like":[40],"distinction":[41],"improvement":[42],"and":[43,80,84,102],"reduction":[44],"or":[45],"removal":[46],"noise.":[48],"This":[49],"paper":[50],"proposes":[51],"an":[52],"efficient":[53],"reconfigurable":[54],"architecture":[55,76,99],"for":[56,77],"medical":[59],"input":[62],"preprocessed":[65],"by":[66],"Gaussian":[67],"filter":[68],"remove":[70],"high":[71,125],"frequency":[72],"edges.":[73],"novel":[75],"Histogram":[78],"Generation":[79],"Equalization":[81],"developed":[83],"applied":[85],"post":[87],"processing":[88],"block":[89],"accurately":[91],"enhance":[92],"images.":[94],"performance":[96],"implemented":[101],"tested":[103],"on":[104],"Digilent":[105],"ATLYS":[106],"(Spartan-6,":[107],"XC6SLX45-3CSG324)":[108],"FPGA":[109],"board.":[110],"It":[111],"observed":[113],"areas":[116],"terms":[118],"slice":[120],"registers":[121],"are":[122],"minimum":[123],"with":[124],"PSNR":[126],"values.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}