{"id":"https://openalex.org/W2437754452","doi":"https://doi.org/10.1109/iccphot.2016.7492871","title":"Learning joint demosaicing and denoising based on sequential energy minimization","display_name":"Learning joint demosaicing and denoising based on sequential energy minimization","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2437754452","doi":"https://doi.org/10.1109/iccphot.2016.7492871","mag":"2437754452"},"language":"en","primary_location":{"id":"doi:10.1109/iccphot.2016.7492871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2016.7492871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Computational Photography (ICCP)","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/A5103693184","display_name":"Teresa Klatzer","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Teresa Klatzer","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067756486","display_name":"Kerstin Hammernik","orcid":"https://orcid.org/0000-0002-2734-1409"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Kerstin Hammernik","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069159614","display_name":"Patrick Kn\u00f6belreiter","orcid":"https://orcid.org/0000-0002-2371-014X"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Patrick Knobelreiter","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032205387","display_name":"Thomas Pock","orcid":"https://orcid.org/0000-0001-6120-1058"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Pock","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology","Digital Safety and Security Department, AIT Austrian Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Digital Safety and Security Department, AIT Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103693184"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":5.4063,"has_fulltext":false,"cited_by_count":90,"citation_normalized_percentile":{"value":0.97316498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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/demosaicing","display_name":"Demosaicing","score":0.9389578104019165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6477927565574646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627888560295105},{"id":"https://openalex.org/keywords/energy-minimization","display_name":"Energy minimization","score":0.5698208808898926},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5632601976394653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5628573298454285},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.45475614070892334},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4213509261608124},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.3840251863002777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3540235757827759},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28616535663604736},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26710057258605957}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.9389578104019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6477927565574646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627888560295105},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.5698208808898926},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5632601976394653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5628573298454285},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.45475614070892334},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4213509261608124},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3840251863002777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540235757827759},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28616535663604736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26710057258605957},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccphot.2016.7492871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccphot.2016.7492871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Computational Photography (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W20747181","https://openalex.org/W96697480","https://openalex.org/W115742922","https://openalex.org/W118540534","https://openalex.org/W1857508347","https://openalex.org/W1912194039","https://openalex.org/W1915360731","https://openalex.org/W1953727797","https://openalex.org/W1968022449","https://openalex.org/W1970163214","https://openalex.org/W1971114016","https://openalex.org/W1976235872","https://openalex.org/W1983049712","https://openalex.org/W1996284443","https://openalex.org/W2000359198","https://openalex.org/W2008346065","https://openalex.org/W2021347102","https://openalex.org/W2035192779","https://openalex.org/W2046079682","https://openalex.org/W2049893860","https://openalex.org/W2051834767","https://openalex.org/W2054203776","https://openalex.org/W2056370875","https://openalex.org/W2069051299","https://openalex.org/W2082136663","https://openalex.org/W2088915293","https://openalex.org/W2112796928","https://openalex.org/W2114122776","https://openalex.org/W2117396329","https://openalex.org/W2119873157","https://openalex.org/W2124659975","https://openalex.org/W2127457591","https://openalex.org/W2130184048","https://openalex.org/W2133665775","https://openalex.org/W2136035751","https://openalex.org/W2136330009","https://openalex.org/W2140341478","https://openalex.org/W2140772072","https://openalex.org/W2151502878","https://openalex.org/W2152175008","https://openalex.org/W2152178471","https://openalex.org/W2157404976","https://openalex.org/W2164734076","https://openalex.org/W2536599074","https://openalex.org/W4254313632","https://openalex.org/W6604859359","https://openalex.org/W6640031962","https://openalex.org/W6661668919"],"related_works":["https://openalex.org/W2105489289","https://openalex.org/W2976757711","https://openalex.org/W2571738250","https://openalex.org/W2118150509","https://openalex.org/W3140715649","https://openalex.org/W1991529554","https://openalex.org/W2032603438","https://openalex.org/W2203185432","https://openalex.org/W2189617061","https://openalex.org/W2243107955"],"abstract_inverted_index":{"Demosaicing":[0,140],"is":[1,112,159],"an":[2,66,171],"important":[3],"first":[4],"step":[5],"for":[6,87],"color":[7,40],"image":[8,67,164],"acquisition.":[9],"For":[10],"practical":[11],"reasons,":[12],"demosaicing":[13,31,64,95],"algorithms":[14],"have":[15],"to":[16,72,101,148,175],"be":[17,85],"both":[18,162],"efficient":[19,74,161],"and":[20,38,70,96,129,152,166],"yield":[21],"high":[22],"quality":[23,165],"results":[24],"in":[25,98,143,163],"the":[26,102,138],"presence":[27],"of":[28,118,123,126,145,173],"noise.":[29],"The":[30],"problem":[32,69],"poses":[33],"several":[34],"challenges,":[35],"e.g.":[36],"zippering":[37],"false":[39],"artifacts":[41],"as":[42,44,65],"well":[43],"edge":[45],"blur.":[46],"In":[47],"this":[48],"work,":[49],"we":[50],"introduce":[51],"a":[52,78,108,116,124],"novel":[53],"learning":[54,115],"based":[55],"method":[56],"that":[57,83],"can":[58,84],"overcome":[59],"these":[60],"challenges.":[61],"We":[62,133,169],"formulate":[63],"restoration":[68],"propose":[71],"learn":[73],"regularization":[75],"inspired":[76],"by":[77,114],"variational":[79],"energy":[80,119],"minimization":[81,120],"framework":[82],"trained":[86],"different":[88],"sensor":[89],"layouts.":[90],"Our":[91,157],"algorithm":[92,136,158],"performs":[93],"joint":[94],"denoising":[97],"close":[99],"relation":[100],"real":[103],"physical":[104],"mosaicing":[105],"process":[106],"on":[107,137],"camera":[109],"sensor.":[110],"This":[111],"achieved":[113],"sequence":[117],"problems":[121],"composed":[122],"set":[125,142],"RGB":[127],"filters":[128],"corresponding":[130],"activation":[131],"functions.":[132],"evaluate":[134],"our":[135],"Microsoft":[139],"data":[141],"terms":[144],"peak":[146],"signal":[147],"noise":[149],"ratio":[150],"(PSNR)":[151],"structured":[153],"similarity":[154],"index":[155],"(SSIM).":[156],"highly":[160],"run":[167],"time.":[168],"achieve":[170],"improvement":[172],"up":[174],"2.6":[176],"dB":[177],"over":[178],"recent":[179],"state-of-the-art":[180],"algorithms.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
