{"id":"https://openalex.org/W2904882699","doi":"https://doi.org/10.1109/ist.2018.8577090","title":"Design Techniques for Incremental Non-Regular Image Sampling Patterns","display_name":"Design Techniques for Incremental Non-Regular Image Sampling Patterns","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904882699","doi":"https://doi.org/10.1109/ist.2018.8577090","mag":"2904882699"},"language":"en","primary_location":{"id":"doi:10.1109/ist.2018.8577090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist.2018.8577090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.00327","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017364743","display_name":"Simon Grosche","orcid":"https://orcid.org/0000-0003-2880-3385"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Grosche","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633542","display_name":"J\u00fcrgen Seiler","orcid":"https://orcid.org/0000-0002-3016-110X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Seiler","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing Friedrich-Alexander-Univeristat Erlangen-Nurnberg, Erlangen, Cauerstr. 7, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.212,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58049737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.6271085739135742},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6183601021766663},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6160115599632263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480350852012634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4496966004371643},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44645440578460693},{"id":"https://openalex.org/keywords/slice-sampling","display_name":"Slice sampling","score":0.4327424168586731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39105185866355896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.371638685464859},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.07152917981147766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6271085739135742},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6183601021766663},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6160115599632263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480350852012634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4496966004371643},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44645440578460693},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.4327424168586731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39105185866355896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.371638685464859},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.07152917981147766},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.0},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ist.2018.8577090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist.2018.8577090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2203.00327","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.00327","pdf_url":"https://arxiv.org/pdf/2203.00327","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.00327","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.00327","pdf_url":"https://arxiv.org/pdf/2203.00327","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1551796223","https://openalex.org/W1976799422","https://openalex.org/W1999434706","https://openalex.org/W2041412547","https://openalex.org/W2042925520","https://openalex.org/W2061926706","https://openalex.org/W2076350013","https://openalex.org/W2093625674","https://openalex.org/W2132282325","https://openalex.org/W2132542155","https://openalex.org/W2258659007","https://openalex.org/W2286454943","https://openalex.org/W2346244068","https://openalex.org/W2548161983","https://openalex.org/W2603433416","https://openalex.org/W2734200350","https://openalex.org/W2755652211","https://openalex.org/W2891082265","https://openalex.org/W2963034234","https://openalex.org/W3005347330","https://openalex.org/W4230344947","https://openalex.org/W4285719527","https://openalex.org/W6665847820","https://openalex.org/W6696118455","https://openalex.org/W6729258289","https://openalex.org/W6773842061"],"related_works":["https://openalex.org/W2208163975","https://openalex.org/W2996441418","https://openalex.org/W4286614785","https://openalex.org/W3084192357","https://openalex.org/W2387422968","https://openalex.org/W4238714840","https://openalex.org/W3128679398","https://openalex.org/W2137544665","https://openalex.org/W2067626990","https://openalex.org/W2058052669"],"abstract_inverted_index":{"Even":[0],"though":[1],"image":[2,93],"signals":[3],"are":[4,143],"typically":[5],"acquired":[6],"on":[7],"a":[8,36,137],"regular":[9,59],"two":[10,87],"dimensional":[11],"grid,":[12],"there":[13,34],"exist":[14],"many":[15],"scenarios":[16],"where":[17],"non-regular":[18,31,92],"sampling":[19,23,32,47,94,98,104,118],"is":[20,35,76,110,120],"possible.":[21],"Non-regular":[22],"can":[24],"remove":[25],"aliasing.":[26],"In":[27,49,79],"terms":[28],"of":[29,39,82],"the":[30,46,67,80,116,126],"patterns,":[33,105],"high":[37],"degree":[38],"freedom":[40],"in":[41,112,134],"how":[42],"to":[43,58,62,89],"actually":[44],"arrange":[45],"positions.":[48],"literature,":[50],"random":[51,69],"patterns":[52,60,70,95,124],"show":[53],"higher":[54],"reconstruction":[55,127],"quality":[56,128],"compared":[57],"due":[61],"reduced":[63],"aliasing":[64],"effects.":[65],"On":[66],"downside,":[68],"feature":[71],"large":[72],"void":[73],"areas":[74],"which":[75],"also":[77],"disadvantageous.":[78],"scope":[81],"this":[83],"work,":[84],"we":[85],"present":[86],"techniques":[88,101],"design":[90],"optimized":[91],"for":[96,136],"arbitrary":[97],"densities.":[99],"Both":[100],"create":[102],"incremental":[103],"i.e.,":[106],"one":[107],"pixel":[108],"position":[109],"added":[111],"each":[113],"step":[114],"until":[115],"desired":[117],"density":[119,139],"reached.":[121],"Our":[122],"proposed":[123],"increase":[125],"by":[129],"more":[130],"than":[131],"+0.5":[132],"dB":[133],"PSNR":[135],"broad":[138],"range.":[140],"Visual":[141],"comparisons":[142],"provided.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}