{"id":"https://openalex.org/W1990937392","doi":"https://doi.org/10.4304/jcp.9.4.896-902","title":"Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise","display_name":"Blind Single-Image Super Resolution Reconstruction with Gaussian Blur and Pepper & Salt Noise","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1990937392","doi":"https://doi.org/10.4304/jcp.9.4.896-902","mag":"1990937392"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.4.896-902","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.896-902","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5025945671","display_name":"Fengqing Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengqing Qin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Lihong Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lihong Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101141561","display_name":"Lilan Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lilan Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101866598","display_name":"Wanan Yang","orcid":"https://orcid.org/0000-0001-7887-6676"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanan Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6982,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86911951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9954000115394592,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9833999872207642,"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/gaussian-blur","display_name":"Gaussian blur","score":0.6274861097335815},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5573413968086243},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5096709728240967},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.5090402960777283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062033534049988},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44065096974372864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4248446822166443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41986629366874695},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4186815917491913},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.33072298765182495},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2536742687225342},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22521686553955078},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.17112919688224792}],"concepts":[{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.6274861097335815},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5573413968086243},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5096709728240967},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.5090402960777283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062033534049988},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44065096974372864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4248446822166443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41986629366874695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4186815917491913},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.33072298765182495},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2536742687225342},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22521686553955078},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.17112919688224792},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.4.896-902","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.896-902","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5400000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1973794531","https://openalex.org/W1975965915","https://openalex.org/W2001139556","https://openalex.org/W2004418627","https://openalex.org/W2005395179","https://openalex.org/W2035300759","https://openalex.org/W2062378984","https://openalex.org/W2069691679","https://openalex.org/W2083906056","https://openalex.org/W2149669120","https://openalex.org/W2156942987","https://openalex.org/W2157466038","https://openalex.org/W2162939704"],"related_works":["https://openalex.org/W2029783634","https://openalex.org/W2364780020","https://openalex.org/W2120405331","https://openalex.org/W2027616686","https://openalex.org/W2364070087","https://openalex.org/W2116036791","https://openalex.org/W2464903433","https://openalex.org/W2073083461","https://openalex.org/W1970319972","https://openalex.org/W1966815314"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,27,32,47,53,64,68,93,102,121,130],"spatial":[3],"resolution":[4,7,21,29,55,79,123,138],"of":[5,67,120,132],"low":[6,28,54],"image":[8,56,70,125],"with":[9,98],"Gaussian":[10,33,65,94,133],"blur":[11,66,95,134],"and":[12,101,113],"Pepper":[13,39,48,103],"&":[14,40,49,104],"salt":[15],"noise,":[16],"a":[17],"blind":[18],"single-image":[19,136],"super":[20,78,122,137],"reconstruction":[22,80,139],"method":[23],"is":[24,57,71,81,96,126,140],"proposed.":[25],"In":[26,128],"imaging":[30],"model,":[31],"blur,":[34],"down-sampling,":[35],"as":[36,38],"well":[37],"Salt":[41,50,105],"noise":[42,51,106,117],"are":[43,107],"all":[44],"considered.":[45],"Firstly,":[46],"in":[52,135,142],"reduced":[58],"through":[59,73,84],"median":[60],"filtering":[61],"method.":[62,76],"Then,":[63],"de-noised":[69],"estimated":[72,97],"error-parameter":[74],"analysis":[75],"Finally,":[77],"carried":[82],"out":[83],"iterative":[85],"back":[86],"projection":[87],"algorithm.":[88],"Experimental":[89],"results":[90],"show":[91],"that":[92],"high":[99],"accuracy,":[100],"removed":[108],"effectively.":[109],"The":[110],"visual":[111],"effect":[112],"peak":[114],"signal":[115],"to":[116],"ratio":[118],"(PSNR)":[119],"reconstructed":[124],"improved.":[127],"addition,":[129],"importance":[131],"justified":[141],"an":[143],"experimental":[144],"way.":[145]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}