{"id":"https://openalex.org/W2079493994","doi":"https://doi.org/10.1109/icip.2010.5651153","title":"Image decomposition using deconvolution","display_name":"Image decomposition using deconvolution","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2079493994","doi":"https://doi.org/10.1109/icip.2010.5651153","mag":"2079493994"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101565511","display_name":"Sunghyun Cho","orcid":"https://orcid.org/0000-0001-7627-3513"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunghyun Cho","raw_affiliation_strings":["Postech, South Korea","POSTECH, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postech, South Korea","institution_ids":["https://openalex.org/I2799891827"]},{"raw_affiliation_string":"POSTECH, Korea#TAB#","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103014894","display_name":"Hyunjun Lee","orcid":"https://orcid.org/0000-0002-6790-4413"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunjun Lee","raw_affiliation_strings":["Postech, South Korea","POSTECH, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postech, South Korea","institution_ids":["https://openalex.org/I2799891827"]},{"raw_affiliation_string":"POSTECH, Korea#TAB#","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101408509","display_name":"Seungyong Lee","orcid":"https://orcid.org/0000-0002-8159-4271"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]},{"id":"https://openalex.org/I2799891827","display_name":"Korea Post","ror":"https://ror.org/00p45d091","country_code":"KR","type":"government","lineage":["https://openalex.org/I2799891827","https://openalex.org/I2801339556","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungyong Lee","raw_affiliation_strings":["Postech, South Korea","POSTECH, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postech, South Korea","institution_ids":["https://openalex.org/I2799891827"]},{"raw_affiliation_string":"POSTECH, Korea#TAB#","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.20116274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"1965","last_page":"1968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/deconvolution","display_name":"Deconvolution","score":0.897586464881897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7015150189399719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6682950854301453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6616498231887817},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6517504453659058},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6275507211685181},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5517647862434387},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5283007621765137},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.45660144090652466},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44638770818710327},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.43640318512916565},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42885300517082214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40054214000701904},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38770121335983276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26822859048843384}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.897586464881897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7015150189399719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6682950854301453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6616498231887817},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6517504453659058},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6275507211685181},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5517647862434387},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5283007621765137},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.45660144090652466},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44638770818710327},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.43640318512916565},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42885300517082214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40054214000701904},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38770121335983276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26822859048843384},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5651153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.170.8554","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.8554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cg.postech.ac.kr/research/decomposition/texture.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W207373900","https://openalex.org/W1488881187","https://openalex.org/W1828225289","https://openalex.org/W1978333359","https://openalex.org/W2099244020","https://openalex.org/W2103559027","https://openalex.org/W2107044884","https://openalex.org/W2141957843","https://openalex.org/W2147821504","https://openalex.org/W2244684328","https://openalex.org/W2417115060","https://openalex.org/W6716395306"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2075075842","https://openalex.org/W2026824768"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,55],"novel":[3],"method":[4,15,37],"for":[5],"decomposing":[6],"an":[7],"image":[8,29,53],"into":[9],"base":[10],"and":[11,18,20,46],"texture":[12,41],"layers.":[13],"Our":[14],"is":[16],"simple":[17],"effective,":[19],"can":[21],"handle":[22,34],"textures":[23],"of":[24,51,63],"high":[25],"contrast,":[26],"which":[27],"traditional":[28],"filtering":[30],"techniques":[31],"may":[32],"not":[33],"efficiently.":[35],"The":[36],"first":[38],"removes":[39],"high-frequency":[40],"information":[42,50],"using":[43,54],"low-pass":[44],"filtering,":[45],"then":[47],"restores":[48],"structural":[49],"the":[52,61],"deconvolution":[56],"operation.":[57],"Experimental":[58],"results":[59],"demonstrate":[60],"effectiveness":[62],"our":[64],"method.":[65]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
