{"id":"https://openalex.org/W2969459596","doi":"https://doi.org/10.1109/icufn.2019.8806188","title":"The Image Shape Recovery on Communication Data Lost Damage","display_name":"The Image Shape Recovery on Communication Data Lost Damage","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2969459596","doi":"https://doi.org/10.1109/icufn.2019.8806188","mag":"2969459596"},"language":"en","primary_location":{"id":"doi:10.1109/icufn.2019.8806188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5051387525","display_name":"Shih\u2010Chang Hsia","orcid":"https://orcid.org/0000-0001-9828-0773"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shih-Chang Hsia","raw_affiliation_strings":["Department of Elecrtron, National Yunlin University of Science and Technology, Douliou, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Elecrtron, National Yunlin University of Science and Technology, Douliou, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019598631","display_name":"Ming\u2010Hwa Sheu","orcid":"https://orcid.org/0000-0002-8417-474X"},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hwa Sheu","raw_affiliation_strings":["Department of Elecrtron, National Yunlin University of Science and Technology, Douliou, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Elecrtron, National Yunlin University of Science and Technology, Douliou, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111914973","display_name":"Cheng Hung Hsiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Hung Hsiao","raw_affiliation_strings":["GeoVision Inc, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"GeoVision Inc, Taipei, Taiwan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051387525"],"corresponding_institution_ids":["https://openalex.org/I75357094"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43290472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"206","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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":0.9991999864578247,"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":0.9987000226974487,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.800318717956543},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7577317357063293},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7247238159179688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6531524062156677},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6508652567863464},{"id":"https://openalex.org/keywords/error-concealment","display_name":"Error concealment","score":0.6416401267051697},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.522181510925293},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4711562395095825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4650040566921234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4610655903816223},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4209824204444885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38063979148864746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36335697770118713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34802448749542236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29203128814697266},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2552967071533203},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10302868485450745},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.08027541637420654}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.800318717956543},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7577317357063293},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7247238159179688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531524062156677},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6508652567863464},{"id":"https://openalex.org/C2779751439","wikidata":"https://www.wikidata.org/wiki/Q1307508","display_name":"Error concealment","level":3,"score":0.6416401267051697},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.522181510925293},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4711562395095825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4650040566921234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4610655903816223},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4209824204444885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38063979148864746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36335697770118713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34802448749542236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29203128814697266},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2552967071533203},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10302868485450745},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.08027541637420654},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn.2019.8806188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn.2019.8806188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1918335562","https://openalex.org/W1964177034","https://openalex.org/W1996928843","https://openalex.org/W2105318782","https://openalex.org/W2130639964","https://openalex.org/W2167354420"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731","https://openalex.org/W2551441443","https://openalex.org/W2388577840"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,94],"fast":[4],"efficient":[5],"error":[6],"concealment":[7],"method":[8],"for":[9],"recovering":[10],"information":[11],"related":[12],"to":[13,52,72,85,97],"shape.":[14,101],"The":[15],"proposed":[16],"technique":[17],"comprises":[18],"block":[19],"classification,":[20],"edge":[21,36,47,63,66],"direction":[22],"interpolation":[23],"and":[24,37,49,56],"filtering":[25],"interpolation.":[26],"Missing":[27],"blocks":[28,48,51,89],"are":[29,90],"classified":[30],"in":[31],"four":[32],"categories:":[33],"transparent,":[34],"opaque,":[35],"isolated":[38,50],"blocks.":[39],"Most":[40],"of":[41,62],"the":[42,54,60,65,73,79,86,99],"computation":[43],"is":[44,68,82],"spent":[45],"on":[46],"maximize":[53],"cost":[55],"performance":[57],"tradeoff.":[58],"For":[59],"recovery":[61],"blocks,":[64],"slope":[67],"computed":[69],"by":[70],"referring":[71],"nearest":[74],"available":[75],"block,":[76],"from":[77],"which":[78],"missing":[80],"shape":[81],"interpolated":[83],"parallel":[84],"edge.":[87],"Isolated":[88],"dealt":[91],"with":[92],"using":[93],"cascade":[95],"filter":[96],"approximate":[98],"actual":[100]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
