{"id":"https://openalex.org/W2995727521","doi":"https://doi.org/10.1109/ipta.2019.8936118","title":"Deblurring Text Images Using Kernel Dictionaries","display_name":"Deblurring Text Images Using Kernel Dictionaries","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2995727521","doi":"https://doi.org/10.1109/ipta.2019.8936118","mag":"2995727521"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2019.8936118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2019.8936118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5036192517","display_name":"Tolga Dizdarer","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tolga Dizdarer","raw_affiliation_strings":["Department of Operations, Information and Decisions, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations, Information and Decisions, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028421252","display_name":"Mustafa \u00c7. P\u0131\u0306nar","orcid":"https://orcid.org/0000-0002-8307-187X"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa C. Pinar","raw_affiliation_strings":["Department of Industrial Engineering, Bilkent University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036192517"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14978276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"6"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9945999979972839,"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/deblurring","display_name":"Deblurring","score":0.9759026765823364},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.8926379680633545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717678427696228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683531165122986},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5495211482048035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4977264702320099},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.47742900252342224},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35844364762306213},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2929791808128357},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.2710813283920288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26375120878219604},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12482044100761414},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.04786837100982666}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9759026765823364},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8926379680633545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717678427696228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683531165122986},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5495211482048035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4977264702320099},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.47742900252342224},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35844364762306213},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2929791808128357},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2710813283920288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26375120878219604},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12482044100761414},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.04786837100982666}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2019.8936118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2019.8936118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6899999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1512507090","https://openalex.org/W1738124305","https://openalex.org/W1987075379","https://openalex.org/W1994321112","https://openalex.org/W2007997259","https://openalex.org/W2009511046","https://openalex.org/W2047123483","https://openalex.org/W2088909704","https://openalex.org/W2103559027","https://openalex.org/W2143570353","https://openalex.org/W2147298660","https://openalex.org/W2147354314","https://openalex.org/W2150125057","https://openalex.org/W2163636005","https://openalex.org/W2167307343","https://openalex.org/W2170608748","https://openalex.org/W2285009732","https://openalex.org/W2507689025","https://openalex.org/W2564735875","https://openalex.org/W2588329416","https://openalex.org/W6652830530","https://openalex.org/W6681807782","https://openalex.org/W6730848525"],"related_works":["https://openalex.org/W3034770329","https://openalex.org/W4220831754","https://openalex.org/W2089488370","https://openalex.org/W2963383578","https://openalex.org/W4287817146","https://openalex.org/W3015323103","https://openalex.org/W2004616103","https://openalex.org/W2028190090","https://openalex.org/W2965566740","https://openalex.org/W2991183107"],"abstract_inverted_index":{"Image":[0],"deblurring":[1],"is":[2],"one":[3],"of":[4,78],"the":[5,76],"widely":[6],"studied":[7],"and":[8,21,26,65],"challenging":[9],"problems":[10,47],"in":[11],"image":[12],"recovery.":[13],"We":[14,39,74],"propose":[15],"a":[16,23,28],"new":[17],"approach":[18],"to":[19,31,45],"represent":[20],"compute":[22],"blurring":[24],"kernel,":[25],"provide":[27,63],"novel":[29],"method":[30],"recover":[32],"text":[33],"images":[34],"affected":[35],"by":[36],"multiple":[37],"kernels.":[38],"utilize":[40],"some":[41],"unique":[42],"kernel":[43,72],"structures":[44],"attack":[46],"where":[48],"these":[49,60],"kernels":[50],"can":[51],"be":[52],"estimated":[53],"using":[54],"linearly":[55],"weighted":[56],"combinations.":[57],"By":[58],"exploiting":[59],"structures,":[61],"we":[62],"fast":[64],"accurate":[66],"solutions":[67],"when":[68],"dealing":[69],"with":[70],"certain":[71],"types.":[73],"demonstrate":[75],"usefulness":[77],"this":[79],"methodology":[80],"through":[81],"computational":[82],"study.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
