{"id":"https://openalex.org/W2746344453","doi":"https://doi.org/10.1109/aipr.2016.8010545","title":"Compression induced image quality degradation in terms of NIIRS","display_name":"Compression induced image quality degradation in terms of NIIRS","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2746344453","doi":"https://doi.org/10.1109/aipr.2016.8010545","mag":"2746344453"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2016.8010545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5023894377","display_name":"Erik Blasch","orcid":"https://orcid.org/0000-0001-6894-6108"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Blasch","raw_affiliation_strings":["Air Force Research Laboratory, Rome, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Rome, NY","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055541983","display_name":"Huamei Chen","orcid":"https://orcid.org/0000-0001-8961-7442"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huamei Chen","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032110770","display_name":"Zhonghai Wang","orcid":"https://orcid.org/0000-0003-3246-8807"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhonghai Wang","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701795","display_name":"Bin Jia","orcid":"https://orcid.org/0000-0001-5071-2573"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Jia","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090383325","display_name":"Kui Liu","orcid":"https://orcid.org/0000-0002-2138-9436"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kui Liu","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003882518","display_name":"Genshe Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Genshe Chen","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004808253","display_name":"Dan Shen","orcid":"https://orcid.org/0000-0003-1834-5456"},"institutions":[{"id":"https://openalex.org/I4210131102","display_name":"Intelligent Fusion Technology (United States)","ror":"https://ror.org/02hjcc687","country_code":"US","type":"company","lineage":["https://openalex.org/I4210131102"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Shen","raw_affiliation_strings":["Intelligent Fusion Technology, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Fusion Technology, MD","institution_ids":["https://openalex.org/I4210131102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9952999949455261,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9865999817848206,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9778000116348267,"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/lossless-compression","display_name":"Lossless compression","score":0.8635258674621582},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.8628683090209961},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.789136528968811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6715307235717773},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.632624626159668},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6118959784507751},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5671218037605286},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.523361086845398},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5210896730422974},{"id":"https://openalex.org/keywords/color-cell-compression","display_name":"Color Cell Compression","score":0.5036129355430603},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.47458744049072266},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.453810453414917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4521012306213379},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.43798547983169556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3921106457710266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27636009454727173},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2424386739730835},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1036578118801117}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8635258674621582},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8628683090209961},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.789136528968811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6715307235717773},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.632624626159668},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6118959784507751},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5671218037605286},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.523361086845398},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5210896730422974},{"id":"https://openalex.org/C82804729","wikidata":"https://www.wikidata.org/wiki/Q5148551","display_name":"Color Cell Compression","level":5,"score":0.5036129355430603},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47458744049072266},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.453810453414917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4521012306213379},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.43798547983169556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3921106457710266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27636009454727173},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2424386739730835},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1036578118801117},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2016.8010545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2016.8010545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W300126688","https://openalex.org/W607368416","https://openalex.org/W1484220438","https://openalex.org/W1523513393","https://openalex.org/W1589272772","https://openalex.org/W1917296735","https://openalex.org/W1971518541","https://openalex.org/W1975077543","https://openalex.org/W1984675385","https://openalex.org/W1990170267","https://openalex.org/W1995015122","https://openalex.org/W2006595765","https://openalex.org/W2024920984","https://openalex.org/W2085392355","https://openalex.org/W2104345001","https://openalex.org/W2137606082","https://openalex.org/W2142060261","https://openalex.org/W2150994078","https://openalex.org/W2274632600","https://openalex.org/W2288853622","https://openalex.org/W2332071383","https://openalex.org/W2334046056","https://openalex.org/W2340828953","https://openalex.org/W2405666815","https://openalex.org/W2479692466","https://openalex.org/W4249560341","https://openalex.org/W4402258846","https://openalex.org/W6610779404","https://openalex.org/W6628812241","https://openalex.org/W6631209786","https://openalex.org/W6635271614","https://openalex.org/W6639886679","https://openalex.org/W6656713618","https://openalex.org/W6694465340","https://openalex.org/W6703251233","https://openalex.org/W6704324773","https://openalex.org/W6713314040"],"related_works":["https://openalex.org/W2088378984","https://openalex.org/W3080614128","https://openalex.org/W4200061735","https://openalex.org/W2603802643","https://openalex.org/W1680283075","https://openalex.org/W2549477129","https://openalex.org/W1497767178","https://openalex.org/W2372078508","https://openalex.org/W3208328673","https://openalex.org/W2548430142"],"abstract_inverted_index":{"Image":[0,150],"compression":[1,75,100,112,170,182],"is":[2,18,33,66,76,128],"an":[3],"important":[4],"component":[5],"in":[6,97,116],"modern":[7],"imaging":[8],"systems":[9],"as":[10],"the":[11,14,42,52,81,89,111,119,138,147,157,180],"size":[12,32,48,64],"of":[13,54,118,132,163],"raw":[15],"data":[16,31,47],"collected":[17],"getting":[19],"larger.":[20],"For":[21],"example,":[22],"a":[23,129,161,168,176,186],"commercial":[24],"Wide":[25],"Area":[26],"Motion":[27],"Imagery":[28,121],"(WAMI)":[29],"image":[30,46,133],"over":[34],"144":[35],"Megapixels":[36],"(12,000":[37],"\u00d7":[38,58],"12,000":[39],"pixels),":[40],"and":[41],"next":[43],"generation":[44],"WAMI":[45],"will":[49],"be":[50],"at":[51],"level":[53],"1.6":[55],"Giga-pixels":[56],"(40,000":[57],"40,000":[59],"pixels).":[60],"The":[61,172],"large":[62],"file":[63],"transmission":[65],"limiting":[67],"performance":[68],"without":[69],"resorting":[70],"to":[71,78,178],"some":[72],"compression.":[73],"Lossless":[74],"able":[77],"preserve":[79],"all":[80],"information,":[82],"but":[83],"has":[84],"limited":[85],"reduction":[86],"power.":[87],"On":[88],"other":[90],"hand,":[91],"lossy":[92],"compression,":[93],"which":[94],"may":[95],"result":[96],"very":[98],"high":[99],"ratios,":[101],"suffers":[102],"from":[103],"information":[104,114],"loss.":[105],"In":[106],"this":[107],"paper,":[108],"we":[109,145],"model":[110],"induced":[113],"loss":[115],"terms":[117],"National":[120],"Interpretability":[122],"Rating":[123],"Scale":[124],"or":[125],"NIIRS.":[126],"NIIRS":[127,158,164,188],"subjective":[130],"quantification":[131],"collections":[134],"widely":[135],"adopted":[136],"by":[137],"Geographic":[139],"Information":[140],"System":[141],"(GIS)":[142],"community.":[143],"Specifically,":[144],"present":[146],"Compression":[148],"Degradation":[149],"Function":[151],"Index":[152],"(CoDIFI)":[153],"framework":[154,174],"that":[155],"predicts":[156],"degradation,":[159],"(i.e.,":[160],"decrease":[162],"rating":[165],"scale)":[166],"for":[167],"given":[169],"setting.":[171],"CoDIFI-NIIRS":[173],"enables":[175],"user":[177],"broker":[179],"maximum":[181],"setting":[183],"while":[184],"maintaining":[185],"specified":[187],"rating.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
