{"id":"https://openalex.org/W2126382400","doi":"https://doi.org/10.1109/tce.2009.5174477","title":"Adaptive blocking artifact reduction using wavelet-based block analysis","display_name":"Adaptive blocking artifact reduction using wavelet-based block analysis","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2126382400","doi":"https://doi.org/10.1109/tce.2009.5174477","mag":"2126382400"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2009.5174477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5174477","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","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/A5100427726","display_name":"Jong-Ho Kim","orcid":"https://orcid.org/0000-0001-8863-6406"},"institutions":[{"id":"https://openalex.org/I199143407","display_name":"Sunchon National University","ror":"https://ror.org/043jqrs76","country_code":"KR","type":"education","lineage":["https://openalex.org/I199143407"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongho Kim","raw_affiliation_strings":["Department of Multimedia Engineering, Sunchon National University, Jeonnam, South Korea","Dept. of Multimedia Eng., Sunchon Nat. Univ., Suncheon, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Sunchon National University, Jeonnam, South Korea","institution_ids":["https://openalex.org/I199143407"]},{"raw_affiliation_string":"Dept. of Multimedia Eng., Sunchon Nat. Univ., Suncheon, South Korea#TAB#","institution_ids":["https://openalex.org/I199143407"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100427726"],"corresponding_institution_ids":["https://openalex.org/I199143407"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.82799425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"55","issue":"2","first_page":"933","last_page":"940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.702995777130127},{"id":"https://openalex.org/keywords/deblocking-filter","display_name":"Deblocking filter","score":0.6838029026985168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6754663586616516},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6560251712799072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.62217777967453},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5926357507705688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.571670413017273},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.568843424320221},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4558161795139313},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44766780734062195},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.44285863637924194},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4153476059436798},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.41151106357574463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4049614667892456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3618861138820648},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2106630504131317}],"concepts":[{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.702995777130127},{"id":"https://openalex.org/C143184774","wikidata":"https://www.wikidata.org/wiki/Q3020846","display_name":"Deblocking filter","level":2,"score":0.6838029026985168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6754663586616516},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6560251712799072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62217777967453},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5926357507705688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.571670413017273},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.568843424320221},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4558161795139313},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44766780734062195},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.44285863637924194},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4153476059436798},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.41151106357574463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4049614667892456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3618861138820648},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2106630504131317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2009.5174477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2009.5174477","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1492380776","https://openalex.org/W2018942646","https://openalex.org/W2047215160","https://openalex.org/W2050912865","https://openalex.org/W2053691921","https://openalex.org/W2105910926","https://openalex.org/W2106627771","https://openalex.org/W2108569186","https://openalex.org/W2113045514","https://openalex.org/W2117780481","https://openalex.org/W2122086266","https://openalex.org/W2124187578","https://openalex.org/W2125922987","https://openalex.org/W2141620200","https://openalex.org/W2167196164","https://openalex.org/W2171798187","https://openalex.org/W2917583897","https://openalex.org/W3144923194","https://openalex.org/W6678312003"],"related_works":["https://openalex.org/W2207806564","https://openalex.org/W2075154555","https://openalex.org/W2751748902","https://openalex.org/W2564908258","https://openalex.org/W1988305500","https://openalex.org/W2966632813","https://openalex.org/W2383056735","https://openalex.org/W3194639106","https://openalex.org/W1587433485","https://openalex.org/W2388936759"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,34,56,81],"signal":[4],"adaptive":[5],"postprocessing":[6],"algorithm":[7,79,100],"is":[8,23],"presented":[9],"to":[10,25],"remove":[11],"visually":[12],"annoying":[13],"blocking":[14],"artifacts":[15],"in":[16,37,86,89,117],"BDCT-coded":[17],"images.":[18,127],"The":[19,43],"wavelet-based":[20],"block":[21,41],"analysis":[22],"adopted":[24],"exploit":[26],"the":[27,40,77,87,98,108],"directional":[28,57],"activity":[29],"of":[30,39,83,91,107],"each":[31],"block,":[32],"as":[33,123,125],"systematic":[35],"approach":[36],"decision":[38],"type.":[42],"proposed":[44,78,99],"1D":[45],"filters":[46],"that":[47,76],"are":[48],"applied":[49],"activity-adaptively":[50],"alleviate":[51],"grid":[52],"noises":[53,62],"effectively":[54],"and":[55,63,93,111],"2D":[58],"filter":[59],"reduces":[60],"staircase":[61],"corner":[64],"outliers":[65],"near":[66],"diagonal":[67],"edges":[68],"while":[69],"preserving":[70],"original":[71],"details.":[72],"Comprehensive":[73],"experiments":[74],"indicate":[75],"outperforms":[80],"number":[82],"deblocking":[84],"methods":[85],"literature":[88],"terms":[90],"PSNR":[92],"subjective":[94],"visual":[95],"quality.":[96],"Moreover,":[97],"takes":[101],"less":[102],"run":[103],"time":[104],"than":[105],"those":[106],"conventional":[109],"methods,":[110],"thus":[112],"it":[113],"can":[114],"be":[115],"used":[116],"real-time":[118],"applications":[119],"for":[120],"moving":[121],"pictures":[122],"well":[124],"still":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
