{"id":"https://openalex.org/W2085077773","doi":"https://doi.org/10.1109/euvip.2011.6045554","title":"HVS-metric-based performance analysis of image denoising algorithms","display_name":"HVS-metric-based performance analysis of image denoising algorithms","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2085077773","doi":"https://doi.org/10.1109/euvip.2011.6045554","mag":"2085077773"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2011.6045554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","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/A5088092183","display_name":"Nikolay Ponomarenko","orcid":"https://orcid.org/0000-0001-9611-7542"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Nikolay Ponomarenko","raw_affiliation_strings":["National Aerospace University, Kharkov, Ukraine","National Aerospace Univ., Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"National Aerospace University, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]},{"raw_affiliation_string":"National Aerospace Univ., Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011325512","display_name":"Vladimir Lukin","orcid":"https://orcid.org/0000-0002-1443-9685"},"institutions":[{"id":"https://openalex.org/I23686167","display_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","ror":"https://ror.org/048j5n646","country_code":"UA","type":"education","lineage":["https://openalex.org/I23686167"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladimir Lukin","raw_affiliation_strings":["National Aerospace University, Kharkov, Ukraine","National Aerospace Univ., Kharkov, Ukraine"],"affiliations":[{"raw_affiliation_string":"National Aerospace University, Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]},{"raw_affiliation_string":"National Aerospace Univ., Kharkov, Ukraine","institution_ids":["https://openalex.org/I23686167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090213299","display_name":"Karen Egiazarian","orcid":"https://orcid.org/0000-0002-8135-1085"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Karen Egiazarian","raw_affiliation_strings":["Tampere University of Technology, Tampere, Finland","Tampere University of Technology , Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology , Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088092183"],"corresponding_institution_ids":["https://openalex.org/I23686167"],"apc_list":null,"apc_paid":null,"fwci":2.8774,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92531959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6812","issue":null,"first_page":"156","last_page":"161"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994000196456909,"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":0.998199999332428,"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/human-visual-system-model","display_name":"Human visual system model","score":0.766506552696228},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7234558463096619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7136890888214111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6392477750778198},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6128526329994202},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5900582671165466},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5736373662948608},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5232880711555481},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46891626715660095},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46408793330192566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45822250843048096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44229018688201904},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4395864009857178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43124687671661377},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4255329668521881},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4125377833843231}],"concepts":[{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.766506552696228},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7234558463096619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7136890888214111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392477750778198},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6128526329994202},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5900582671165466},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5736373662948608},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5232880711555481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46891626715660095},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46408793330192566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45822250843048096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44229018688201904},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4395864009857178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43124687671661377},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4255329668521881},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4125377833843231},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2011.6045554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2011.6045554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd European Workshop on Visual Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1580963329","https://openalex.org/W1891272053","https://openalex.org/W1964869435","https://openalex.org/W1973207880","https://openalex.org/W1997147589","https://openalex.org/W2007406620","https://openalex.org/W2039903699","https://openalex.org/W2041798388","https://openalex.org/W2048122713","https://openalex.org/W2056370875","https://openalex.org/W2086365468","https://openalex.org/W2094419229","https://openalex.org/W2105143518","https://openalex.org/W2106783469","https://openalex.org/W2122764750","https://openalex.org/W2148917772","https://openalex.org/W2161907179","https://openalex.org/W2168025612","https://openalex.org/W2169467627","https://openalex.org/W2193581139","https://openalex.org/W2315567505","https://openalex.org/W2324971623","https://openalex.org/W2622470254","https://openalex.org/W2626610348","https://openalex.org/W4253920039","https://openalex.org/W4285719527","https://openalex.org/W6674209760","https://openalex.org/W6687365569","https://openalex.org/W6701249984","https://openalex.org/W6738991188"],"related_works":["https://openalex.org/W1564637051","https://openalex.org/W2097012618","https://openalex.org/W2084773883","https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W2292083403","https://openalex.org/W1974034585"],"abstract_inverted_index":{"Image":[0],"filtering":[1],"is":[2,68,83,113],"applied":[3],"in":[4,36],"numerous":[5],"applications.":[6],"Although":[7],"most":[8],"images":[9],"after":[10],"processing":[11],"are":[12,32,78],"subject":[13],"to":[14,70],"visualization":[15],"and":[16,21,39,45,99],"analysis":[17,108],"by":[18],"humans,":[19],"MSE":[20],"PSNR":[22,98],"metrics":[23,59,112],"that":[24,85],"do":[25],"not":[26],"adequately":[27],"characterize":[28],"image":[29],"visual":[30,63,110],"quality":[31,58,111],"still":[33],"basically":[34],"used":[35],"filter":[37,89],"design":[38],"performance":[40],"comparisons.":[41],"This":[42],"paper":[43],"presents":[44],"generalizes":[46],"some":[47,74],"recent":[48],"results":[49],"obtained":[50],"during":[51],"our":[52],"studies":[53],"on":[54,61],"usefulness":[55],"of":[56,97,104,109,118],"novel":[57],"based":[60],"human":[62],"system":[64],"(HVS).":[65],"Basic":[66],"attention":[67],"paid":[69],"DCT-based":[71,88],"filters":[72],"although":[73],"other":[75],"denoising":[76],"techniques":[77],"considered":[79],"as":[80],"well.":[81],"It":[82],"demonstrated":[84],"the":[86,119],"same":[87],"(with":[90],"a":[91],"tunable":[92,105],"parameter)":[93],"provides":[94],"optimal":[95],"values":[96,103],"HVS-metrics":[100],"for":[101],"different":[102],"parameter.":[106],"Local":[107],"carried":[114],"out":[115],"indicating":[116],"directions":[117],"future":[120],"research.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-08T06:01:36.053099","created_date":"2025-10-10T00:00:00"}