{"id":"https://openalex.org/W2771963148","doi":"https://doi.org/10.1109/mmsp.2017.8122288","title":"Iterative denoising-based mesh-to-grid reconstruction with hyperparametric adaptation","display_name":"Iterative denoising-based mesh-to-grid reconstruction with hyperparametric adaptation","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771963148","doi":"https://doi.org/10.1109/mmsp.2017.8122288","mag":"2771963148"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2017.8122288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","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/A5081911913","display_name":"J\u00e1n Koloda","orcid":"https://orcid.org/0000-0001-5053-4615"},"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":true,"raw_author_name":"Jan Koloda","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","Veridas | Das-Nano, Pol\u00edgono Industrial Talluntxe II, Spain"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Veridas | Das-Nano, Pol\u00edgono Industrial Talluntxe II, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004766356","display_name":"Michel B\u00e4tz","orcid":"https://orcid.org/0000-0002-7071-7731"},"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":"Michel Batz","raw_affiliation_strings":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, 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":["Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Multimedia Communications and Signal Processing, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081911913"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17617122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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":0.7269924879074097},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7039151191711426},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6615719199180603},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5623877644538879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48749208450317383},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.4811045527458191},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.469930499792099},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4453420042991638},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.44282495975494385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43520963191986084},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4313722550868988},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42271316051483154},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41185060143470764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17984288930892944},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1470111906528473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269924879074097},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7039151191711426},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6615719199180603},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5623877644538879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48749208450317383},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.4811045527458191},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.469930499792099},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4453420042991638},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.44282495975494385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43520963191986084},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4313722550868988},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42271316051483154},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41185060143470764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17984288930892944},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1470111906528473},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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:10.1109/mmsp.2017.8122288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1976055723","https://openalex.org/W2004766774","https://openalex.org/W2006262236","https://openalex.org/W2027325144","https://openalex.org/W2036343080","https://openalex.org/W2056370875","https://openalex.org/W2067042811","https://openalex.org/W2096609483","https://openalex.org/W2115755118","https://openalex.org/W2123090765","https://openalex.org/W2147169375","https://openalex.org/W2296605590","https://openalex.org/W2567425457","https://openalex.org/W2578137272"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W1987356308","https://openalex.org/W3119800349","https://openalex.org/W4385272703","https://openalex.org/W2513570774","https://openalex.org/W2139368882","https://openalex.org/W4214691059","https://openalex.org/W4287907666","https://openalex.org/W2792992868","https://openalex.org/W2997240037"],"abstract_inverted_index":{"This":[0,18],"paper":[1],"presents":[2],"a":[3,20,66],"new":[4],"method":[5,43],"for":[6,23],"the":[7,57,75,82,85,91,108,112,123],"reconstruction":[8,58,76,113,131],"of":[9,45,84,93,105],"images":[10],"from":[11],"samples":[12],"located":[13],"at":[14,73],"non-integer":[15],"mesh":[16],"positions.":[17],"is":[19,63],"common":[21],"scenario":[22],"many":[24],"image":[25],"processing":[26],"applications":[27],"such":[28],"as":[29],"multi-image":[30],"super-resolution,":[31],"frame-rate":[32],"up-conversion,":[33],"or":[34,101],"virtual":[35],"view":[36],"synthesis":[37],"in":[38,53,78],"multi-camera":[39],"systems.":[40],"The":[41,60],"proposed":[42,86,109],"consists":[44],"an":[46],"iterative":[47],"procedure":[48],"that":[49,71,96],"employs":[50],"adaptive":[51],"denoising":[52,61],"order":[54],"to":[55,98,122,135],"reduce":[56],"error.":[59],"strength":[62],"controlled":[64],"by":[65,115,133],"novel":[67],"hyper-parametric":[68],"adaptation":[69],"mechanism":[70],"aims":[72],"maximizing":[74],"quality":[77,114],"each":[79],"iteration.":[80],"Furthermore,":[81],"usage":[83],"hyperparametric":[87],"model":[88],"drastically":[89],"reduces":[90],"number":[92],"necessary":[94],"parameters":[95],"need":[97],"be":[99],"trained":[100],"stored.":[102],"In":[103],"terms":[104],"luminance":[106],"PSNR,":[107],"approach":[110],"improves":[111],"more":[116],"than":[117],"1":[118],"dB":[119],"with":[120],"respect":[121],"initial":[124],"estimate":[125],"and":[126],"outperforms":[127],"current":[128],"state-of-the-art":[129],"denoising-based":[130],"schemes":[132],"up":[134],"0.5":[136],"dB.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
