{"id":"https://openalex.org/W2424239925","doi":"https://doi.org/10.1109/ncvpripg.2015.7489998","title":"Real-time implementation of modified Adaptive Histogram Equalization for high dynamic range Infrared images in FPGA","display_name":"Real-time implementation of modified Adaptive Histogram Equalization for high dynamic range Infrared images in FPGA","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2424239925","doi":"https://doi.org/10.1109/ncvpripg.2015.7489998","mag":"2424239925"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2015.7489998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7489998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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/A5070618151","display_name":"Uday Kumar Urimi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Uday Kumar Urimi","raw_affiliation_strings":["Central Research Laboratory, BEL-Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, BEL-Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001962512","display_name":"Mastan Rao Kongara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mastan Rao Kongara","raw_affiliation_strings":["Central Research Laboratory, BEL-Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, BEL-Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078836020","display_name":"Chidamber R. Patil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. R. Patil","raw_affiliation_strings":["Central Research Laboratory, BEL-Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, BEL-Bangalore, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070618151"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7489,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80803108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9957000017166138,"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/histogram-equalization","display_name":"Histogram equalization","score":0.7386747598648071},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7013775706291199},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6866280436515808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811676025390625},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6555197238922119},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5933738946914673},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5458971261978149},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.5397598743438721},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4790181517601013},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.451097697019577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40693217515945435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21378016471862793},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1605762243270874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1517731249332428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09407079219818115},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08486989140510559},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06076577305793762}],"concepts":[{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.7386747598648071},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7013775706291199},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6866280436515808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811676025390625},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6555197238922119},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5933738946914673},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5458971261978149},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.5397598743438721},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4790181517601013},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.451097697019577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40693217515945435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21378016471862793},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1605762243270874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1517731249332428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09407079219818115},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08486989140510559},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06076577305793762},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncvpripg.2015.7489998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7489998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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":11,"referenced_works":["https://openalex.org/W1898466148","https://openalex.org/W1968239508","https://openalex.org/W1976468890","https://openalex.org/W2019232927","https://openalex.org/W2058333183","https://openalex.org/W2072883612","https://openalex.org/W2102327553","https://openalex.org/W2141691100","https://openalex.org/W2533972219","https://openalex.org/W4247086295","https://openalex.org/W6639814565"],"related_works":["https://openalex.org/W2381801133","https://openalex.org/W2019232927","https://openalex.org/W2091083464","https://openalex.org/W2006275160","https://openalex.org/W883925917","https://openalex.org/W2048552332","https://openalex.org/W2533972219","https://openalex.org/W1995247496","https://openalex.org/W2152503221","https://openalex.org/W2049386948"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,25,48,51,68,88,125,153,180],"an":[3],"Infrared":[4],"imaging":[5],"system":[6],"is":[7,90,109,159],"often":[8],"measured":[9],"by":[10],"its":[11,162],"Detection,":[12],"Recognition":[13],"and":[14,32,104,118,129],"Identification":[15],"(DRI)":[16],"ranges.":[17],"In":[18,146],"thermal":[19,72,172,184],"cameras,":[20],"acquired":[21],"images":[22],"will":[23],"be":[24],"high":[26,69,169,181],"dynamic":[27,70,80,133,170,182,194],"range":[28,71,81,134,171,183,195],"(typically":[29,74,83],"15":[30,75],"bits)":[31,76],"lack":[33],"adequate":[34],"contrast.":[35],"An":[36],"Indium":[37],"Antimonide":[38],"(InSb)":[39],"detector":[40],"operating":[41],"in":[42,54],"1-5":[43],"micron":[44],"wavelength":[45],"has":[46],"responsivity":[47],"the":[49,65,101,123,136,142,193,198],"order":[50],"30mV/\u00b0K":[52],"resulting":[53],"very":[55],"low":[56,189],"differential":[57],"pixel":[58],"values":[59],"even":[60],"after":[61],"non-uniformity":[62],"correction.":[63],"Mapping":[64],"grey":[66],"levels":[67],"data":[73,139],"to":[77,135,176,196],"invariably":[78],"less":[79],"displays":[82,105],"8":[84],"bits),":[85],"without":[86],"loss":[87],"information,":[89],"a":[91,149],"challenging":[92],"task.":[93],"Hence,":[94],"image":[95],"enhancement":[96,112,151],"technique":[97,152],"that":[98],"preserves":[99],"all":[100],"information":[102,178],"content":[103,179],"with":[106,161,186],"proper":[107],"contrast":[108],"inevitable.":[110],"Conventional":[111],"techniques":[113],"like":[114],"AGC,":[115],"Histogram":[116,156],"Equalization":[117,157],"their":[119],"many":[120],"variants":[121],"have":[122],"tendency":[124],"generating":[126],"excess":[127],"noise":[128,190],"assigning":[130],"more":[131],"display":[132,199],"dominating":[137],"temperature":[138,144],"while":[140,191],"suppressing":[141],"non-dominating":[143],"data.":[145,173],"this":[147],"paper,":[148],"new":[150],"modified":[154],"Adaptive":[155],"(AHE)":[158],"proposed":[160],"real":[163],"time":[164],"implementation":[165],"on":[166],"FPGA":[167],"for":[168],"Algorithm":[174],"aims":[175],"retain":[177],"data,":[185],"improved":[187],"contrast,":[188],"compressing":[192],"suit":[197],"resolution.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}