{"id":"https://openalex.org/W2069724725","doi":"https://doi.org/10.1109/tip.2014.2319732","title":"Local Learned Dictionaries Optimized to Edge Orientation for Inverse Halftoning","display_name":"Local Learned Dictionaries Optimized to Edge Orientation for Inverse Halftoning","publication_year":2014,"publication_date":"2014-04-24","ids":{"openalex":"https://openalex.org/W2069724725","doi":"https://doi.org/10.1109/tip.2014.2319732","mag":"2069724725","pmid":"https://pubmed.ncbi.nlm.nih.gov/24800685"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2319732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2319732","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5085235647","display_name":"Chang\u2010Hwan Son","orcid":"https://orcid.org/0000-0001-7077-3074"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chang-Hwan Son","raw_affiliation_strings":["College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea","College of Information and Communication Engineering, Sungkyunkwan University , Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Sungkyunkwan University , Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054933494","display_name":"Hyunseung Choo","orcid":"https://orcid.org/0000-0002-6485-3155"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseung Choo","raw_affiliation_strings":["College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea","College of Information and Communication Engineering, Sungkyunkwan University , Suwon, Korea"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Sungkyunkwan University , Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085235647"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":3.4774,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92898969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"6","first_page":"2542","last_page":"2556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9980999827384949,"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":0.9939000010490417,"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":0.7680120468139648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6821931600570679},{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.6792775988578796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5869948267936707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5727837085723877},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5199128985404968},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49863362312316895},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4899393916130066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48073291778564453},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45835912227630615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3167233169078827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22579899430274963}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7680120468139648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6821931600570679},{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.6792775988578796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869948267936707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5727837085723877},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5199128985404968},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49863362312316895},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4899393916130066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48073291778564453},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45835912227630615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3167233169078827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22579899430274963},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2319732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2319732","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:24800685","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24800685","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W23339423","https://openalex.org/W87530118","https://openalex.org/W1992554832","https://openalex.org/W2073578547","https://openalex.org/W2075977530","https://openalex.org/W2097073572","https://openalex.org/W2102088115","https://openalex.org/W2102493018","https://openalex.org/W2103385467","https://openalex.org/W2130103520","https://openalex.org/W2133665775","https://openalex.org/W2134953536","https://openalex.org/W2135065661","https://openalex.org/W2138559722","https://openalex.org/W2141936613","https://openalex.org/W2148653107","https://openalex.org/W2150593711","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2161969291","https://openalex.org/W2162402353","https://openalex.org/W2293318283","https://openalex.org/W2529757196","https://openalex.org/W4246945957","https://openalex.org/W6679388247","https://openalex.org/W6728159765"],"related_works":["https://openalex.org/W4251316475","https://openalex.org/W387710534","https://openalex.org/W1990318175","https://openalex.org/W608034372","https://openalex.org/W4378219109","https://openalex.org/W2049375232","https://openalex.org/W2383705254","https://openalex.org/W2063075950","https://openalex.org/W4378446391","https://openalex.org/W2381832910"],"abstract_inverted_index":{"A":[0],"method":[1],"is":[2,76,102,163],"proposed":[3],"for":[4],"fully":[5],"restoring":[6],"local":[7,156,192],"image":[8],"structures":[9],"of":[10,40,115,124,141,185,220],"an":[11,16,98,116],"unknown":[12,117],"continuous-tone":[13,44,64,89,118],"patch":[14,19,95,160,196],"from":[15,62],"input":[17,106],"halftoned":[18],"with":[20],"homogenously":[21],"distributed":[22],"dot":[23],"patterns,":[24],"based":[25,130],"on":[26,79,131,176],"a":[27,72,159],"locally":[28],"learned":[29,127],"dictionary":[30,73,90,128,157,188],"pair":[31],"via":[32],"feature":[33,53,113,139],"clustering.":[34],"First,":[35],"many":[36],"training":[37,69,82,144],"sets":[38,145],"consisting":[39],"paired":[41,187],"halftone":[42,87,107],"and":[43,48,88,120,146,173,195,214,223],"patches":[45],"are":[46,60],"collected,":[47],"then":[49],"histogram-of-":[50],"oriented-gradient":[51],"(HOG)":[52],"vectors":[54,140],"that":[55,182],"describe":[56],"the":[57,68,80,86,105,111,125,132,136,142,147,155,183,186,191,202,218],"edge":[58,193],"orientations":[59],"calculated":[61],"every":[63],"patch,":[65,108,119],"to":[66,84,93,104,109,121,153,165],"group":[67],"sets.":[70],"Next,":[71],"learning":[74],"algorithm":[75],"separately":[77],"conducted":[78],"categorized":[81],"sets,":[83],"obtain":[85],"pairs,":[91,129,158],"optimized":[92],"edge-oriented":[94],"representation.":[96],"Finally,":[97],"adaptively":[99],"smoothing":[100],"filter":[101],"applied":[103],"predict":[110],"HOG":[112,137,149],"vector":[114],"select":[122],"one":[123],"previously":[126],"Euclidean":[133],"distance":[134],"between":[135],"mean":[138],"grouped":[143],"predicted":[148],"vector.":[150],"In":[151],"addition":[152],"using":[154],"fusion":[161,197],"technique":[162,198],"used":[164],"reduce":[166],"some":[167],"artifacts,":[168],"such":[169],"as":[170],"color":[171],"noise":[172],"overemphasized":[174],"edges":[175],"smooth":[177,205],"regions.":[178],"Experimental":[179],"results":[180],"show":[181],"use":[184],"selected":[189],"by":[190],"orientation":[194],"not":[199],"only":[200],"reduced":[201],"artifacts":[203],"in":[204,217],"regions,":[206],"but":[207],"also":[208],"provided":[209],"well":[210],"expressed":[211],"fine":[212],"details":[213],"outlines,":[215],"especially":[216],"areas":[219],"textures,":[221],"lines,":[222],"regular":[224],"patterns.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
