{"id":"https://openalex.org/W2129722294","doi":"https://doi.org/10.1109/icme.2005.1521597","title":"Non-Linear Image Enhancement for Digital TV Applications Using Gabor Filters","display_name":"Non-Linear Image Enhancement for Digital TV Applications Using Gabor Filters","publication_year":2005,"publication_date":"2005-10-24","ids":{"openalex":"https://openalex.org/W2129722294","doi":"https://doi.org/10.1109/icme.2005.1521597","mag":"2129722294"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2005.1521597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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/A5101690285","display_name":"Yuanwei Yang","orcid":"https://orcid.org/0000-0002-4221-4563"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yue Yang","raw_affiliation_strings":["Center for Cognitive Ubiquitous Computing, Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Center for Cognitive Ubiquitous Computing, Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101507793","display_name":"Baojie Li","orcid":"https://orcid.org/0000-0002-1211-5222"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["Center for Cognitive Ubiquitous Computing, Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Center for Cognitive Ubiquitous Computing, Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101690285"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62124581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1018","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9951000213623047,"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":0.9951000213623047,"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/T10828","display_name":"Biometric Identification and Security","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.7296748161315918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.677702784538269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6712378263473511},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6573706865310669},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5757815837860107},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4998033046722412},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.487016499042511},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.45847609639167786},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45653659105300903},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4453653395175934},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.44368281960487366},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.432053804397583},{"id":"https://openalex.org/keywords/digital-television","display_name":"Digital television","score":0.4119868874549866},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3761087656021118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3392694294452667},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3073846399784088},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.13198530673980713},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07621824741363525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296748161315918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.677702784538269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712378263473511},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6573706865310669},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5757815837860107},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4998033046722412},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.487016499042511},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.45847609639167786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45653659105300903},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4453653395175934},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.44368281960487366},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.432053804397583},{"id":"https://openalex.org/C520681616","wikidata":"https://www.wikidata.org/wiki/Q202255","display_name":"Digital television","level":2,"score":0.4119868874549866},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3761087656021118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3392694294452667},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3073846399784088},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13198530673980713},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07621824741363525},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2005.1521597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2005.1521597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Multimedia and Expo","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":9,"referenced_works":["https://openalex.org/W1966552320","https://openalex.org/W1992558806","https://openalex.org/W2063188426","https://openalex.org/W2095757522","https://openalex.org/W2115683997","https://openalex.org/W2123778074","https://openalex.org/W2127717018","https://openalex.org/W2989908748","https://openalex.org/W6666163849"],"related_works":["https://openalex.org/W2377026036","https://openalex.org/W3149916223","https://openalex.org/W2387005170","https://openalex.org/W2011016768","https://openalex.org/W2118649315","https://openalex.org/W211901863","https://openalex.org/W2263317564","https://openalex.org/W2381216538","https://openalex.org/W2469157126","https://openalex.org/W2228174547"],"abstract_inverted_index":{"We":[0,26],"propose":[1,28],"a":[2],"non-linear":[3],"image":[4,72],"enhancement":[5,14,48],"method":[6,31],"based":[7,15],"on":[8,16],"Gabor":[9],"filters,":[10],"which":[11],"allows":[12],"selective":[13,47],"the":[17,22,34,37,50,62,67,70],"contrast":[18],"sensitivity":[19],"function":[20],"of":[21,36,49,66,77],"human":[23],"visual":[24,64],"system.":[25],"also":[27],"an":[29],"evaluation":[30],"for":[32,40,56],"measuring":[33],"performance":[35],"algorithm":[38],"and":[39],"comparing":[41],"it":[42],"with":[43],"existing":[44],"approaches.":[45],"The":[46],"proposed":[51],"approach":[52],"is":[53,87],"especially":[54],"suitable":[55],"digital":[57],"television":[58],"applications":[59],"to":[60,81,89],"improve":[61],"perceived":[63],"quality":[65],"images":[68],"when":[69],"source":[71],"contains":[73],"less":[74],"satisfactory":[75],"amount":[76],"high":[78],"frequencies":[79],"due":[80],"various":[82],"reasons,":[83],"including":[84],"interpolation":[85],"that":[86],"used":[88],"convert":[90],"standard":[91],"definition":[92],"sources":[93],"into":[94],"high-definition":[95],"images.":[96]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}