{"id":"https://openalex.org/W3088833022","doi":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-148","title":"Using the dead leaves pattern for more than spatial frequency response measurements","display_name":"Using the dead leaves pattern for more than spatial frequency response measurements","publication_year":2020,"publication_date":"2020-01-26","ids":{"openalex":"https://openalex.org/W3088833022","doi":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-148","mag":"3088833022"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2020.16.avm-148","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-148","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/A5029857631","display_name":"Uwe Artmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Uwe Artmann","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029857631"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10223835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"16","first_page":"148","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.7090510129928589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6632716059684753},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6392837762832642},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5593006014823914},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5491462349891663},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.474097341299057},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.464526504278183},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45113736391067505},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44587022066116333},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44193077087402344},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.417555570602417},{"id":"https://openalex.org/keywords/dead-time","display_name":"Dead time","score":0.416012167930603},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4147699177265167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39488646388053894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29295846819877625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20713764429092407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17845788598060608},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11813655495643616},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09230741858482361}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090510129928589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632716059684753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6392837762832642},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5593006014823914},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5491462349891663},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.474097341299057},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.464526504278183},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45113736391067505},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44587022066116333},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44193077087402344},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.417555570602417},{"id":"https://openalex.org/C159484563","wikidata":"https://www.wikidata.org/wiki/Q628723","display_name":"Dead time","level":2,"score":0.416012167930603},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4147699177265167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39488646388053894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29295846819877625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20713764429092407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17845788598060608},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11813655495643616},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09230741858482361},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2020.16.avm-148","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2020.16.avm-148","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2561865474","https://openalex.org/W14338536","https://openalex.org/W1999628802","https://openalex.org/W1973141080","https://openalex.org/W29099225","https://openalex.org/W2545729297","https://openalex.org/W2056820690","https://openalex.org/W2134774992","https://openalex.org/W4361772798","https://openalex.org/W2091536888"],"abstract_inverted_index":{"The":[0,75],"dead":[1],"leaves":[2],"pattern":[3,14,45],"is":[4],"very":[5],"useful":[6],"to":[7,19,24,50,62,80],"obtain":[8],"an":[9],"SFR":[10,68],"from":[11,40],"a":[12,56],"stochastic":[13],"and":[15,31,46,72,95],"can":[16,77],"be":[17,78],"used":[18,79],"measure":[20,51],"texture":[21],"loss":[22],"due":[23],"noise":[25],"reduction":[26],"or":[27],"compression":[28],"in":[29],"images":[30],"video":[32],"streams.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"present":[38],"results":[39,76],"experiments":[41],"that":[42],"use":[43],"the":[44,52,64,67,82,85],"different":[47],"analysis":[48],"approaches":[49],"dynamic":[53],"range":[54],"of":[55,66,84,87],"camera":[57,89],"system":[58],"as":[59,61],"well":[60,102],"describe":[63],"dependency":[65],"on":[69],"object":[70],"contrast":[71],"light":[73],"intensity.":[74],"improve":[81],"understanding":[83],"performance":[86],"modern":[88],"systems.":[90],"These":[91],"systems":[92],"work":[93],"adaptively":[94],"are":[96,100],"scene":[97],"aware":[98],"but":[99],"not":[101],"described":[103],"by":[104],"standard":[105],"image":[106],"quality":[107],"metrics.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}