{"id":"https://openalex.org/W2976510523","doi":"https://doi.org/10.2352/issn.2470-1173.2019.9.imse-359","title":"Image degradation from hot pixel defects with pixel size shrinkage","display_name":"Image degradation from hot pixel defects with pixel size shrinkage","publication_year":2019,"publication_date":"2019-01-13","ids":{"openalex":"https://openalex.org/W2976510523","doi":"https://doi.org/10.2352/issn.2470-1173.2019.9.imse-359","mag":"2976510523"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.9.imse-359","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.9.imse-359","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5061097022","display_name":"Glenn H. Chapman","orcid":"https://orcid.org/0000-0002-2486-2954"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Glenn H Chapman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111511890","display_name":"Rohan Thomas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rohan Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062290806","display_name":"Klinsmann J. Coelho Silva Meneses","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Klinsmann J. C. S Meneses","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055210733","display_name":"Israel Koren","orcid":"https://orcid.org/0000-0003-2741-7108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Israel Koren","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023125411","display_name":"Zahava Koren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zahava Koren","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061097022"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1192,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46768502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"31","issue":"9","first_page":"359","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958000183105469,"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.9264209866523743},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4643208384513855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45938828587532043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43552565574645996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3815746307373047}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.9264209866523743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4643208384513855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45938828587532043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43552565574645996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3815746307373047}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.9.imse-359","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.9.imse-359","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2058170566"],"abstract_inverted_index":{"“Hot":[0],"Pixels”":[1],"defects":[2,86],"in":[3,37,71,80,124,195,202],"digital":[4],"imaging":[5],"sensors":[6],"accumulate":[7],"as":[8],"the":[9,48,51,56,62,66,104,144],"camera":[10,170],"ages":[11],"over":[12],"time":[13],"at":[14,198,205],"a":[15,44,81,90,111,118,125,152,162,166,178],"rate":[16,78],"that":[17,30,74,84],"is":[18],"highly":[19],"dependent":[20],"on":[21],"pixel":[22,33,52,92,113,120],"size.":[23],"Previously":[24],"we":[25],"developed":[26],"an":[27],"empirical":[28],"formula":[29],"projects":[31],"hot":[32,147,175],"defect":[34,40,77],"growth":[35],"rates":[36],"terms":[38],"of":[39,50,58,65,106,146,155,181,189],"density":[41],"(defects/year/mm2)":[42],"via":[43],"power":[45,57],"law,":[46],"with":[47],"inverse":[49],"size":[53,190],"raised":[54],"to":[55,142,150],"˜3,":[59],"multiplied":[60],"by":[61],"square":[63],"root":[64],"ISO":[67,199,206],"(gain)":[68],"We":[69,130],"show":[70],"this":[72,75],"paper":[73],"increasing":[76],"results":[79],"higher":[82],"probability":[83,154,180],"two":[85,107,157,182],"will":[87],"occur":[88,160,194],"within":[89,110,161],"5x5":[91,112,163],"box.":[93],"The":[94],"demosaicing":[95],"and":[96,138,201],"JPEG":[97],"image":[98,128],"compression":[99],"algorithms":[100],"may":[101,193],"greatly":[102],"amplify":[103],"impact":[105],"defective":[108,158,184],"pixels":[109,148,159,176,188],"box,":[114],"spreading":[115],"it":[116],"into":[117],"16x16":[119],"box":[121],"thus":[122],"resulting":[123],"very":[126],"noticeable":[127],"degradation.":[129],"develop":[131],"both":[132],"analytical":[133],"(generalized":[134],"birthday":[135],"problem":[136],"formula)":[137],"Monte":[139],"Carlo":[140],"simulations":[141],"estimate":[143],"number":[145],"required":[149],"achieve":[151],"given":[153],"having":[156],"square.":[164],"For":[165],"20":[167],"Mpix":[168],"DSLR":[169],"(360":[171],"mm2)":[172],"only":[173],"128":[174],"generate":[177],"4%":[179],"such":[183],"pixels,":[185],"which":[186],"for":[187],"4":[191],"μm":[192],"1.4":[196],"years":[197,204],"6400,":[200],"3.2":[203],"3200.":[207]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}