{"id":"https://openalex.org/W2295641782","doi":"https://doi.org/10.1109/icip.2015.7351151","title":"Image denoising via coded aperture photography","display_name":"Image denoising via coded aperture photography","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295641782","doi":"https://doi.org/10.1109/icip.2015.7351151","mag":"2295641782"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5074386580","display_name":"Minhaeng Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137750","display_name":"UC Irvine Health","ror":"https://ror.org/03fgher32","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137750"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Minhaeng Lee","raw_affiliation_strings":["UC Irvine"],"affiliations":[{"raw_affiliation_string":"UC Irvine","institution_ids":["https://openalex.org/I4210137750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001987788","display_name":"Yu\u2010Wing Tai","orcid":"https://orcid.org/0000-0002-3148-0380"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Yu-Wing Tai","raw_affiliation_strings":["KAIST"],"affiliations":[{"raw_affiliation_string":"KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074386580"],"corresponding_institution_ids":["https://openalex.org/I4210137750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15875515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"2000","last_page":"2004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6705250144004822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6499245762825012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6251207590103149},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5366302132606506},{"id":"https://openalex.org/keywords/coded-aperture","display_name":"Coded aperture","score":0.5162765383720398},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5102627277374268},{"id":"https://openalex.org/keywords/aperture","display_name":"Aperture (computer memory)","score":0.5022273063659668},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.49638205766677856},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48548439145088196},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4229012131690979},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4178919196128845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3808356523513794},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2537055015563965},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20232218503952026},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09718918800354004},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09509885311126709},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0880579948425293},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.06055983901023865}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6705250144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6499245762825012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251207590103149},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5366302132606506},{"id":"https://openalex.org/C2779464207","wikidata":"https://www.wikidata.org/wiki/Q4226196","display_name":"Coded aperture","level":3,"score":0.5162765383720398},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5102627277374268},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.5022273063659668},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.49638205766677856},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48548439145088196},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4229012131690979},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4178919196128845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3808356523513794},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2537055015563965},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20232218503952026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09718918800354004},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09509885311126709},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0880579948425293},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.06055983901023865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1535110911","https://openalex.org/W1979783198","https://openalex.org/W1997243640","https://openalex.org/W2030716039","https://openalex.org/W2047710600","https://openalex.org/W2056370875","https://openalex.org/W2060945009","https://openalex.org/W2071142900","https://openalex.org/W2095727488","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2108637563","https://openalex.org/W2113945798","https://openalex.org/W2114122776","https://openalex.org/W2120105886","https://openalex.org/W2125527601","https://openalex.org/W2125803075","https://openalex.org/W2131686571","https://openalex.org/W2147298660","https://openalex.org/W2148062657","https://openalex.org/W2153237085","https://openalex.org/W2154571593","https://openalex.org/W2155617382","https://openalex.org/W2159736423","https://openalex.org/W2160451035","https://openalex.org/W2164647001","https://openalex.org/W2165015795","https://openalex.org/W3145803902","https://openalex.org/W4230548574","https://openalex.org/W4243154030","https://openalex.org/W4247043502","https://openalex.org/W6649569683","https://openalex.org/W6662481968","https://openalex.org/W6664401941","https://openalex.org/W6665667679","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W2006843870","https://openalex.org/W2072500068","https://openalex.org/W1602455006","https://openalex.org/W2926694756","https://openalex.org/W3003562737","https://openalex.org/W2333188462","https://openalex.org/W2390208853","https://openalex.org/W4380885968","https://openalex.org/W2487564216","https://openalex.org/W1942013893"],"abstract_inverted_index":{"We":[0,46],"present":[1],"a":[2,22,77],"novel":[3,64],"image":[4,15,37,61,75],"denoising":[5,104],"method":[6],"utilizing":[7],"coded":[8,23,43,51,81],"aperture":[9,44,52,82],"photography.":[10],"Our":[11],"approach":[12,88],"captures":[13],"an":[14],"that":[16],"is":[17,67,89],"slightly":[18,79],"optically":[19],"defocused":[20],"by":[21,41],"aperture.":[24],"This":[25],"allows":[26],"us":[27],"to":[28,69,72,100],"more":[29],"effectively":[30],"reduce":[31],"noise":[32,55],"while":[33],"high":[34,58],"frequency":[35,56,59],"of":[36,50,60,86,102],"structures":[38],"are":[39],"protected":[40],"the":[42,48],"image.":[45,83],"analyze":[47],"effectiveness":[49,85],"in":[53],"decoupling":[54],"from":[57,76],"structures.":[62],"A":[63],"frequency-aware":[65],"regularization":[66],"proposed":[68],"denoise":[70],"and":[71,97],"restore":[73],"sharp":[74],"noisy":[78],"out-of-focus":[80],"The":[84],"our":[87],"demonstrated":[90],"on":[91],"various":[92],"challenging":[93],"examples":[94],"with":[95],"quantitative":[96],"qualitative":[98],"comparisons":[99],"results":[101],"state-of-the-art":[103],"methods.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
