{"id":"https://openalex.org/W4388667101","doi":"https://doi.org/10.1109/dft59622.2023.10313555","title":"Image Degradation in Time Due to Interacting Hot Pixels","display_name":"Image Degradation in Time Due to Interacting Hot Pixels","publication_year":2023,"publication_date":"2023-10-03","ids":{"openalex":"https://openalex.org/W4388667101","doi":"https://doi.org/10.1109/dft59622.2023.10313555"},"language":"en","primary_location":{"id":"doi:10.1109/dft59622.2023.10313555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dft59622.2023.10313555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","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/A5061097022","display_name":"Glenn H. Chapman","orcid":"https://orcid.org/0000-0002-2486-2954"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Glenn H. Chapman","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093260777","display_name":"Klinsmann J. Coelho Silva Menes","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Klinsmann J. Coelho Silva Menes","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101267122","display_name":"Li-Yu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Li-Yu Wu","raw_affiliation_strings":["Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University,School of Engineering Science,Burnaby,Canada,V5A 1S6","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055210733","display_name":"Israel Koren","orcid":"https://orcid.org/0000-0003-2741-7108"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Israel Koren","raw_affiliation_strings":["University of Massachusetts,Dept. of Electrical and Computer Engineering,Amherst,MA,01003"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Dept. of Electrical and Computer Engineering,Amherst,MA,01003","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023125411","display_name":"Zahava Koren","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zahava Koren","raw_affiliation_strings":["University of Massachusetts,Dept. of Electrical and Computer Engineering,Amherst,MA,01003"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Dept. of Electrical and Computer Engineering,Amherst,MA,01003","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22246748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7875","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":1.0,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9918000102043152,"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/pixel","display_name":"Pixel","score":0.9037947654724121},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5610651969909668},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5555727481842041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478805899620056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5417992472648621},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.48335832357406616},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43687868118286133},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36440640687942505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29891568422317505},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2165956199169159}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.9037947654724121},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5610651969909668},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5555727481842041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478805899620056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5417992472648621},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.48335832357406616},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43687868118286133},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36440640687942505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29891568422317505},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2165956199169159},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dft59622.2023.10313555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dft59622.2023.10313555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2027654975","https://openalex.org/W2031457674","https://openalex.org/W2110449873","https://openalex.org/W2110643826","https://openalex.org/W2113100884","https://openalex.org/W2122230135","https://openalex.org/W2124177559","https://openalex.org/W2140573010","https://openalex.org/W2158150403","https://openalex.org/W2886155985","https://openalex.org/W3142913228","https://openalex.org/W4310449400","https://openalex.org/W6600753310"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2120205576","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2134324324","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2102148524","https://openalex.org/W4390494008","https://openalex.org/W2053596378"],"abstract_inverted_index":{"The":[0],"number":[1,27],"of":[2,28,95,129,137,147,168,181],"hot":[3,88,194],"pixels":[4,89,195],"(induced":[5],"by":[6],"cosmic":[7],"rays)":[8],"in":[9,31,71,99,158,185,196],"digital":[10],"imaging":[11],"sensors":[12],"increases":[13,104],"as":[14],"the":[15,48,59,106,116,123,135,138,144,148,152,166],"camera":[16,84],"ages,":[17],"with":[18,105,115,134,142],"rates":[19],"strongly":[20],"dependent":[21],"on":[22,165],"pixel":[23,43,64,117,139],"size.":[24],"This":[25,154],"increasing":[26],"defects":[29,37],"results":[30],"a":[32,41,62,80,92,126,162,178],"higher":[33],"probability":[34,94,112,128],"that":[35,79,122,170],"two":[36],"will":[38,160],"occur":[39],"within":[40],"5x5":[42],"square.":[44],"When":[45],"this":[46,111],"occurs,":[47],"currently":[49],"employed":[50],"color":[51,68],"demosaicing":[52],"and":[53,102,151],"JPEG":[54],"image":[55,73,97,130,156],"compression":[56],"algorithms":[57],"spread":[58],"damage":[60],"into":[61],"16x16":[63],"area,":[65],"creating":[66],"significant":[67,163],"changes":[69],"resulting":[70],"noticeable":[72],"degradation.":[74],"Experiments":[75],"show,":[76],"for":[77,125,177],"example,":[78],"20":[81],"Mpixel":[82],"DSLR":[83],"needs":[85],"only":[86],"127":[87],"to":[90,173],"generate":[91],"P=4.6%":[93],"an":[96],"degradation":[98,131,157],"1.4":[100],"years,":[101],"P":[103],"time":[107,124,159],"squared.":[108,119],"In":[109],"addition,":[110],"grows":[113],"inversely":[114,141],"size":[118],"We":[120],"show":[121],"given":[127],"varies":[132],"linearly":[133],"square":[136,145],"size,":[140],"both":[143],"root":[146],"imager":[149],"area":[150],"ISO.":[153],"accelerated":[155],"have":[161,190],"impact":[164],"lifetime":[167],"cameras":[169,184],"are":[171],"expected":[172],"provide":[174],"accurate":[175],"images":[176],"long":[179],"period":[180],"time,":[182],"e.g.,":[183],"self-driving":[186],"cars.":[187],"Experimental":[188],"tests":[189],"identified":[191],"multiple":[192],"interacting":[193],"several":[197],"cameras.":[198]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
