{"id":"https://openalex.org/W2128637285","doi":"https://doi.org/10.1109/icip.2005.1529771","title":"Contrast signal-to-noise ratio for image quality assessment","display_name":"Contrast signal-to-noise ratio for image quality assessment","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2128637285","doi":"https://doi.org/10.1109/icip.2005.1529771","mag":"2128637285"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1529771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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/A5102153818","display_name":"Susu Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Susu Yao","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Inst. for Infocomm Res., Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Inst. for Infocomm Res., Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030565922","display_name":"Ee Ping Ong","orcid":"https://orcid.org/0000-0002-9239-8399"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"EePing Ong","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Inst. for Infocomm Res., Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064390827","display_name":"Zhongkang Lu","orcid":"https://orcid.org/0000-0001-7379-3193"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhongkang Lu","raw_affiliation_strings":["Institute for Infocomm Research, Singapore","Inst. for Infocomm Res., Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Inst. for Infocomm Res., Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102153818"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.62065285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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":0.9983000159263611,"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/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6788299083709717},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6567848920822144},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6458804607391357},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.6020855903625488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002954244613647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5942850112915039},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5801188349723816},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5711082220077515},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4992690086364746},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47372713685035706},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4726250171661377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45055440068244934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3975500762462616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37263941764831543},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34860488772392273},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2531115412712097},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24593082070350647},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.056757956743240356}],"concepts":[{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6788299083709717},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6567848920822144},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6458804607391357},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.6020855903625488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002954244613647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5942850112915039},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5801188349723816},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5711082220077515},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4992690086364746},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47372713685035706},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4726250171661377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45055440068244934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3975500762462616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37263941764831543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34860488772392273},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2531115412712097},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24593082070350647},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.056757956743240356},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1529771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1529771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","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":12,"referenced_works":["https://openalex.org/W1486503308","https://openalex.org/W2019206873","https://openalex.org/W2103232506","https://openalex.org/W2114338738","https://openalex.org/W2133665775","https://openalex.org/W2134774992","https://openalex.org/W2139982251","https://openalex.org/W2148864994","https://openalex.org/W2159269332","https://openalex.org/W2168756588","https://openalex.org/W3182211633","https://openalex.org/W4321466059"],"related_works":["https://openalex.org/W4322741006","https://openalex.org/W2120205576","https://openalex.org/W2183753013","https://openalex.org/W2588001951","https://openalex.org/W2384506428","https://openalex.org/W1429902097","https://openalex.org/W2405106204","https://openalex.org/W2133102185","https://openalex.org/W2045818635","https://openalex.org/W2128637285"],"abstract_inverted_index":{"Peak":[0],"signal-to-noise":[1,34],"ratio":[2,35,40],"(PSNR)":[3],"is":[4],"commonly":[5],"used":[6],"as":[7],"an":[8],"objective":[9],"quality":[10,22],"metric":[11,31],"in":[12,93],"signal":[13,48],"processing.":[14],"However,":[15],"PSNR":[16],"correlates":[17],"poorly":[18],"with":[19,72,87],"the":[20,39,42,50,54,60,88],"subjective":[21,89],"rating.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29,67],"new":[30],"using":[32,66],"contrast":[33,43,51],"(CSNR),":[36],"which":[37],"measures":[38],"of":[41,46,53,59,69,95],"information":[44],"level":[45,52],"distorted":[47],"to":[49],"error":[55],"signal.":[56],"The":[57,77],"performance":[58],"proposed":[61],"method":[62],"has":[63],"been":[64],"verified":[65],"database":[68],"images":[70],"compressed":[71],"JPEG":[73,75],"and":[74,99],"2000.":[76],"results":[78],"show":[79],"that":[80],"it":[81],"can":[82],"achieve":[83],"very":[84],"good":[85],"correlation":[86],"mean":[90],"opinion":[91],"scores":[92],"terms":[94],"prediction":[96],"accuracy,":[97],"monotonicity":[98],"consistency.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
