{"id":"https://openalex.org/W2563341304","doi":"https://doi.org/10.1109/icip.2016.7532720","title":"Quality assessment for image super-resolution based on energy change and texture variation","display_name":"Quality assessment for image super-resolution based on energy change and texture variation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2563341304","doi":"https://doi.org/10.1109/icip.2016.7532720","mag":"2563341304"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China","School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681559","display_name":"Yabin Zhang","orcid":"https://orcid.org/0000-0002-6962-6277"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yabin Zhang","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403129","display_name":"Weisi Lin","orcid":"https://orcid.org/0000-0001-9866-1947"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Weisi Lin","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063013411"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81333177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"2057","last_page":"2061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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":0.9947999715805054,"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":0.8105279803276062},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7081881165504456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6303803324699402},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6286672353744507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6211080551147461},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.615631639957428},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6068402528762817},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.599746823310852},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5828964114189148},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5231805443763733},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5228343605995178},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5131579041481018},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5065683126449585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4800092577934265},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4284456670284271},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2610762119293213},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23705396056175232},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.22103673219680786},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13092264533042908}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8105279803276062},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7081881165504456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303803324699402},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6286672353744507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6211080551147461},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.615631639957428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6068402528762817},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.599746823310852},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5828964114189148},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5231805443763733},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5228343605995178},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5131579041481018},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5065683126449585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4800092577934265},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4284456670284271},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2610762119293213},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23705396056175232},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.22103673219680786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13092264533042908},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W7682646","https://openalex.org/W54257720","https://openalex.org/W107968503","https://openalex.org/W1580389772","https://openalex.org/W1590245106","https://openalex.org/W1593883601","https://openalex.org/W1651266332","https://openalex.org/W1973175507","https://openalex.org/W1978598038","https://openalex.org/W1981199328","https://openalex.org/W1985560945","https://openalex.org/W2031614119","https://openalex.org/W2046119925","https://openalex.org/W2061398022","https://openalex.org/W2074877640","https://openalex.org/W2091588468","https://openalex.org/W2098506229","https://openalex.org/W2121058967","https://openalex.org/W2121927366","https://openalex.org/W2124386111","https://openalex.org/W2129261766","https://openalex.org/W2133665775","https://openalex.org/W2140519302","https://openalex.org/W2142884912","https://openalex.org/W2144468361","https://openalex.org/W2157494358","https://openalex.org/W2168231174","https://openalex.org/W2171349048","https://openalex.org/W2626610348","https://openalex.org/W3137074406","https://openalex.org/W4206519171","https://openalex.org/W6600294690","https://openalex.org/W6602211262","https://openalex.org/W6634589695","https://openalex.org/W6635400391","https://openalex.org/W6635658349","https://openalex.org/W6646811755","https://openalex.org/W6673487689","https://openalex.org/W6677973867","https://openalex.org/W6680017387"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W2067164137","https://openalex.org/W2373481280","https://openalex.org/W2081155276","https://openalex.org/W2005223122","https://openalex.org/W2742642662","https://openalex.org/W2015790018"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,23,46],"propose":[4],"a":[5],"novel":[6],"reduced-reference":[7],"quality":[8,70,101],"assessment":[9],"metric":[10],"for":[11,103],"image":[12,20,52,82],"super-resolution":[13],"(RRIQA-SR)":[14],"based":[15],"on":[16,42],"the":[17,25,32,43,48,62,77,93],"low-resolution":[18],"(LR)":[19],"information.":[21],"First,":[22],"use":[24],"Markov":[26],"Random":[27],"Field":[28],"(MRF)":[29],"to":[30],"model":[31],"pixel":[33,44],"correspondence":[34],"between":[35,51,80],"LR":[36,55,85],"and":[37,56,65,86],"high-resolution":[38],"(HR)":[39],"images.":[40,88],"Based":[41],"correspondence,":[45],"predict":[47],"perceptual":[49,78],"similarity":[50,79],"patches":[53,83],"of":[54,71,84,100],"HR":[57,72,87,104],"images":[58,73,105],"by":[59,76],"two":[60],"components:":[61],"energy":[63],"change":[64],"texture":[66],"variation.":[67],"The":[68],"overall":[69],"is":[74],"estimated":[75],"local":[81],"Experimental":[89],"results":[90],"demonstrate":[91],"that":[92],"proposed":[94],"method":[95],"can":[96],"obtain":[97],"better":[98],"performance":[99],"prediction":[102],"than":[106],"other":[107],"existing":[108],"ones,":[109],"even":[110],"including":[111],"some":[112],"full-reference":[113],"(FR)":[114],"metrics.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}