{"id":"https://openalex.org/W2155852770","doi":"https://doi.org/10.1109/ijcnn.2008.4633897","title":"Image quality assessment using edge and contrast similarity","display_name":"Image quality assessment using edge and contrast similarity","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2155852770","doi":"https://doi.org/10.1109/ijcnn.2008.4633897","mag":"2155852770"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5026764896","display_name":"Wei Fu","orcid":"https://orcid.org/0000-0002-5377-307X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Fu","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000141628","display_name":"Xiaodong Gu","orcid":"https://orcid.org/0000-0002-7096-1830"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Gu","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109666975","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0009-0005-8449-3635"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["Department of Electronic Engineering, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026764896"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":3.5118,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93485073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"852","last_page":"855"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7743760347366333},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7623623609542847},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6559128761291504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540389657020569},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.650579571723938},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.630400538444519},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6019379496574402},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5979325771331787},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5561171174049377},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5243977904319763},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5157051682472229},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4938226640224457},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45023852586746216}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7743760347366333},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7623623609542847},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6559128761291504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540389657020569},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.650579571723938},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.630400538444519},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6019379496574402},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5979325771331787},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5561171174049377},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5243977904319763},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5157051682472229},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4938226640224457},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45023852586746216},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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":8,"referenced_works":["https://openalex.org/W1964215855","https://openalex.org/W2015937190","https://openalex.org/W2133665775","https://openalex.org/W2145023731","https://openalex.org/W2150490197","https://openalex.org/W2159269332","https://openalex.org/W2159676406","https://openalex.org/W2168265015"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2093931120","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2801208768"],"abstract_inverted_index":{"Measurement":[0],"of":[1,5,18,39,73],"visual":[2],"quality":[3,49],"is":[4],"fundamental":[6],"importance":[7],"to":[8],"some":[9],"image":[10,16,20,48,61],"processing":[11],"applications.":[12],"And":[13],"the":[14,24,53,59,63],"perceived":[15],"distortion":[17,102],"any":[19],"strongly":[21],"depends":[22],"on":[23,52],"local":[25],"features,":[26],"such":[27],"as":[28,76,78],"edges,":[29],"flats":[30],"and":[31,55,62,104],"textures.":[32],"Since":[33],"edges":[34],"often":[35],"convey":[36],"much":[37],"information":[38],"an":[40],"image,":[41],"we":[42],"propose":[43],"a":[44,71],"novel":[45],"algorithm":[46],"for":[47],"assessment":[50],"based":[51],"edge":[54],"contrast":[56],"similarity":[57],"between":[58],"distorted":[60],"reference(perfect)":[64],"image.":[65],"We":[66,85],"demonstrate":[67],"its":[68,80],"promise":[69],"through":[70],"set":[72],"intuitive":[74],"examples,":[75],"well":[77],"validate":[79],"performance":[81],"with":[82,90,100],"subjective":[83],"ratings.":[84],"also":[86],"compare":[87],"our":[88],"method":[89],"two":[91],"other":[92],"state-of-the-art":[93],"objective":[94],"ones,":[95],"which":[96],"uses":[97],"550":[98],"images":[99],"different":[101],"types":[103],"BP":[105],"neural":[106],"network.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}