{"id":"https://openalex.org/W3130434017","doi":"https://doi.org/10.1145/3448218.3448226","title":"Structure Similarity for Image Quality Assessment from Isotropic to Anisotropic","display_name":"Structure Similarity for Image Quality Assessment from Isotropic to Anisotropic","publication_year":2021,"publication_date":"2021-01-14","ids":{"openalex":"https://openalex.org/W3130434017","doi":"https://doi.org/10.1145/3448218.3448226","mag":"3130434017"},"language":"en","primary_location":{"id":"doi:10.1145/3448218.3448226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448218.3448226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Control Engineering and Artificial Intelligence","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/A5030348326","display_name":"Yuanyuan Chang","orcid":"https://orcid.org/0000-0001-8562-3781"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Chang","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xian, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035469537","display_name":"Xuande Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuande Zhang","raw_affiliation_strings":["School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xian, China","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079293456","display_name":"Dekang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159565","display_name":"SAIC Motor (China)","ror":"https://ror.org/051b9ta18","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dekang Zhu","raw_affiliation_strings":["Saic Motor Corporation Limited, Passenger Car Company, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saic Motor Corporation Limited, Passenger Car Company, Shanghai, China","institution_ids":["https://openalex.org/I4210159565"]}]}],"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":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9984999895095825,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9944000244140625,"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/isotropy","display_name":"Isotropy","score":0.8606586456298828},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6810429096221924},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.672409176826477},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6684329509735107},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.6606046557426453},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6261134147644043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211641430854797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766749382019043},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5749805569648743},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4327925145626068},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42846575379371643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40453800559043884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2295178771018982},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2056681513786316},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18108409643173218}],"concepts":[{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.8606586456298828},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6810429096221924},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.672409176826477},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6684329509735107},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.6606046557426453},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6261134147644043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211641430854797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766749382019043},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5749805569648743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4327925145626068},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42846575379371643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40453800559043884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2295178771018982},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2056681513786316},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18108409643173218},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448218.3448226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448218.3448226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Control Engineering and Artificial Intelligence","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":10,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2009272644","https://openalex.org/W2100867133","https://openalex.org/W2114582993","https://openalex.org/W2141983208","https://openalex.org/W2161907179","https://openalex.org/W2324971623","https://openalex.org/W2622470254","https://openalex.org/W4211253871","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2794789911","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W4298134547","https://openalex.org/W2028665553","https://openalex.org/W2086519370"],"abstract_inverted_index":{"As":[0],"a":[1,78],"pioneer":[2],"work":[3],"in":[4,73,76,87],"the":[5,21,30,45,63,109],"field":[6],"of":[7,24,33,37,48,65,112],"Image":[8],"Quality":[9],"Assessment":[10],"(IQA),":[11],"Structure":[12],"Similarity":[13],"(SSIM)":[14],"has":[15],"been":[16],"widely":[17],"used":[18],"to":[19,43,81,101,104],"evaluate":[20],"output":[22],"quality":[23],"imaging":[25],"systems":[26],"and":[27,40,57,108],"algorithms.":[28],"However,":[29],"classical":[31],"implementation":[32,69,111],"SSIM":[34,88,113],"is":[35,70,85],"inherent":[36],"isotropic":[38,100],"nature":[39],"thus":[41],"fail":[42],"model":[44],"anisotropic":[46,68,110],"characteristic":[47],"Human":[49],"Vision":[50],"System":[51],"(HVS).":[52],"To":[53],"alleviate":[54],"this":[55,74,95],"problem":[56],"realize":[58],"as":[59,61],"fully":[60],"possible":[62],"potential":[64],"SSIM,":[66],"an":[67],"put":[71],"forward":[72],"letter":[75],"which":[77],"kernel":[79],"adaptive":[80],"image":[82],"local":[83],"structures":[84],"integrated":[86],"computation.":[89],"Extensive":[90],"Numerical":[91],"experiments":[92],"reveal":[93],"that":[94],"seemingly":[96],"tiny":[97],"modification":[98],"(from":[99],"anisotropic)":[102],"leads":[103],"significant":[105],"performance":[106],"improvement,":[107],"performs":[114],"comparably":[115],"with":[116],"state-of-the-art":[117],"on":[118],"several":[119],"benchmark":[120],"datasets.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
