{"id":"https://openalex.org/W2794305269","doi":"https://doi.org/10.1117/12.2283073","title":"Image quality evaluation of full reference algorithm","display_name":"Image quality evaluation of full reference algorithm","publication_year":2018,"publication_date":"2018-03-08","ids":{"openalex":"https://openalex.org/W2794305269","doi":"https://doi.org/10.1117/12.2283073","mag":"2794305269"},"language":"en","primary_location":{"id":"doi:10.1117/12.2283073","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2283073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037041659","display_name":"Kai Xie","orcid":"https://orcid.org/0000-0003-3991-2771"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xie","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109147594","display_name":"Nannan He","orcid":"https://orcid.org/0000-0001-7648-3131"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan He","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358988","display_name":"Tong Li","orcid":"https://orcid.org/0000-0001-6269-5117"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Li","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076029012","display_name":"Yushan Ye","orcid":"https://orcid.org/0000-0003-3307-8712"},"institutions":[{"id":"https://openalex.org/I4210135483","display_name":"Beijing Institute of Graphic Communication","ror":"https://ror.org/03yg3v757","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135483"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Ye","raw_affiliation_strings":["Beijing Institute of Graphic Communication (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Graphic Communication (China)","institution_ids":["https://openalex.org/I4210135483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210135483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/image-quality","display_name":"Image quality","score":0.6545812487602234},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.6473191380500793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6215085983276367},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.589401125907898},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5498981475830078},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5458569526672363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333495140075684},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4948248267173767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4873962998390198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48678824305534363},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48401185870170593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42280903458595276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41768431663513184},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3899693489074707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16430339217185974}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6545812487602234},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6473191380500793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6215085983276367},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.589401125907898},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5498981475830078},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5458569526672363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333495140075684},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4948248267173767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4873962998390198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48678824305534363},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48401185870170593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42280903458595276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41768431663513184},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3899693489074707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16430339217185974},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2283073","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2283073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4251298892","https://openalex.org/W2356013541","https://openalex.org/W2315873829","https://openalex.org/W2883512610","https://openalex.org/W2183753013","https://openalex.org/W3082444306","https://openalex.org/W2895464841","https://openalex.org/W142830878","https://openalex.org/W2405106204","https://openalex.org/W2133102185"],"abstract_inverted_index":{"Image":[0,43],"quality":[1,90,117,158],"evaluation":[2,22,50,54,93,127,159],"is":[3,10,95,108,122,129,149,164],"a":[4,100,125],"classic":[5],"research":[6],"topic,":[7],"the":[8,13,16,21,61,111,119,147,155],"goal":[9],"to":[11,38,84,110],"design":[12],"algorithm,":[14],"given":[15],"subjective":[17],"feelings":[18],"consistent":[19],"with":[20],"value.":[23],"This":[24],"paper":[25],"mainly":[26],"introduces":[27],"several":[28],"typical":[29],"reference":[30],"methods":[31,55,67],"of":[32,48,65,139],"Mean":[33],"Squared":[34],"Error(MSE),":[35],"Peak":[36],"Signal":[37],"Noise":[39],"Rate(PSNR),":[40],"Structural":[41],"Similarity":[42],"Metric(SSIM)":[44],"and":[45,60,63,72,75,103,142,146],"feature":[46],"similarity(FSIM)":[47],"objective":[49],"methods.":[51],"The":[52,92,131],"different":[53],"are":[56,68,77,81],"tested":[57],"by":[58,70],"Matlab,":[59],"advantages":[62],"disadvantages":[64],"these":[66],"obtained":[69],"analyzing":[71],"comparing":[73],"them.MSE":[74],"PSNR":[76],"simple,":[78],"but":[79],"they":[80],"not":[82,96],"considered":[83,109],"introduce":[85],"HVS":[86],"characteristics":[87],"into":[88,115],"image":[89,116,141,144,157],"evaluation.":[91],"result":[94,128,148],"ideal.":[97],"SSIM":[98,120],"has":[99],"good":[101],"correlation":[102],"simple":[104],"calculation":[105],",because":[106],"it":[107],"human":[112],"visual":[113],"effect":[114],"evaluation,However":[118],"method":[121,133],"based":[123,161],"on":[124,162],"hypothesis,The":[126],"limited.":[130],"FSIM":[132,163],"can":[134],"be":[135],"used":[136],"for":[137],"test":[138],"gray":[140],"color":[143],"test,":[145],"better.":[150],"Experimental":[151],"results":[152],"show":[153],"that":[154],"new":[156],"algorithm":[160],"more":[165],"accurate.":[166]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}