{"id":"https://openalex.org/W3001702480","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965677","title":"No-Reference Stereoscopic Image Quality Assessment by Both Complex Contourlet Domain with Spatial Domain Features","display_name":"No-Reference Stereoscopic Image Quality Assessment by Both Complex Contourlet Domain with Spatial Domain Features","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3001702480","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965677","mag":"3001702480"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5055270514","display_name":"Tuxin Guan","orcid":"https://orcid.org/0000-0003-1714-7204"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tuxin Guan","raw_affiliation_strings":["Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610667","display_name":"Chaofeng Li","orcid":"https://orcid.org/0000-0002-3236-3143"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaofeng Li","raw_affiliation_strings":["Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101879994","display_name":"Jian Ma","orcid":"https://orcid.org/0000-0003-4743-7923"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ma","raw_affiliation_strings":["Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Logistics Science and Engineering Research Institute, Shanghai Maritime University,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055270514"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56307004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9926000237464905,"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/T11666","display_name":"Color Science and Applications","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.8319838047027588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7999212741851807},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7911335825920105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7248890995979309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7171832919120789},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6013338565826416},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5715781450271606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5495331883430481},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5012576580047607},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5007903575897217},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4776809811592102},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45605558156967163},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41097813844680786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20153608918190002}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.8319838047027588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7999212741851807},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7911335825920105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248890995979309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7171832919120789},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6013338565826416},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5715781450271606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5495331883430481},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5012576580047607},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5007903575897217},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4776809811592102},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45605558156967163},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41097813844680786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20153608918190002},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":26,"referenced_works":["https://openalex.org/W3758953","https://openalex.org/W1500458919","https://openalex.org/W1930650491","https://openalex.org/W1981076008","https://openalex.org/W1982471090","https://openalex.org/W2046119925","https://openalex.org/W2073812468","https://openalex.org/W2127418128","https://openalex.org/W2129331753","https://openalex.org/W2182295979","https://openalex.org/W2258211000","https://openalex.org/W2293889938","https://openalex.org/W2724977098","https://openalex.org/W2750972358","https://openalex.org/W2766228387","https://openalex.org/W2780120380","https://openalex.org/W2782385194","https://openalex.org/W2789281773","https://openalex.org/W2790538633","https://openalex.org/W2800864467","https://openalex.org/W2810874584","https://openalex.org/W2889641121","https://openalex.org/W2898570661","https://openalex.org/W2905908087","https://openalex.org/W2940934954","https://openalex.org/W6669085869"],"related_works":["https://openalex.org/W1973473859","https://openalex.org/W2039333314","https://openalex.org/W2356416985","https://openalex.org/W2358940597","https://openalex.org/W1989187133","https://openalex.org/W2362680912","https://openalex.org/W2361105225","https://openalex.org/W2473079406","https://openalex.org/W2380782746","https://openalex.org/W2003244095"],"abstract_inverted_index":{"Stereoscopic":[0],"image":[1,12,19,37,72,115],"quality":[2,20,38,116],"assessment":[3,21],"(SIQA)":[4],"is":[5],"an":[6],"essential":[7],"and":[8,46,68,96,113,133],"tricky":[9],"part":[10],"of":[11,64,84,87],"processing.":[13],"Recently,":[14],"many":[15],"scholars":[16],"have":[17],"conducted":[18],"in":[22,91],"either":[23],"spatial":[24,47,98],"or":[25],"frequency":[26],"domain":[27,95,99],"respectively.":[28,100],"In":[29],"this":[30],"paper,":[31],"we":[32],"propose":[33],"a":[34],"no-reference":[35],"stereoscopic":[36],"evaluation":[39],"method":[40],"by":[41],"considering":[42],"both":[43],"complex":[44,93],"contourlet":[45],"features.":[48],"Firstly,":[49],"the":[50,56,61,69,76,81,92,97,108,123],"original":[51,77],"views":[52],"are":[53,73,89,105],"converted":[54],"to":[55,107],"Lab":[57,65],"color":[58,66],"space.":[59],"Then":[60],"luminance":[62],"channel":[63],"space":[67],"synthetic":[70],"cyclopean":[71],"calculated":[74],"from":[75],"stereo":[78],"pairs.":[79],"Next,":[80],"perceptual":[82],"features":[83,104],"these":[85],"types":[86],"images":[88],"extracted":[90],"contour":[94],"Finally,":[101],"all":[102],"pre-extracted":[103],"sent":[106],"regression":[109],"model":[110],"for":[111],"training":[112],"predicting":[114],"scores.":[117],"Our":[118],"experimental":[119],"results":[120],"show":[121],"that":[122],"proposed":[124],"algorithm":[125],"achieves":[126],"high":[127],"consistency":[128],"with":[129,135],"human":[130],"subjective":[131],"perception,":[132],"compete":[134],"state-of-the-art":[136],"algorithms.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}